Expression Pattern

From WormBaseWiki
Jump to navigationJump to search


Expression Pattern

Current model (WS280)

?Expr_pattern Expression_of Gene ?Gene XREF Expr_pattern #Evidence
                            Reflects_endogenous_expression_of ?Gene
                            CDS ?CDS XREF Expr_pattern               // for coding genes
                            Sequence ?Sequence XREF Expr_pattern     // for clones???
                            Pseudogene ?Pseudogene XREF Expr_pattern // [030801 krb]
                            Clone ?Clone XREF Expr_pattern
                            Protein ?Protein XREF Expr_pattern
                            Protein_description Text   // information for Expr_patterns with unknown antigens [031105 krb]
              Homol Homol_homol ?Homol_data XREF Expr_homol ?Method Float Int UNIQUE Int Int UNIQUE Int #Homol_info //Expr_pattern mapping [060427 ar2]
              Expression_data Life_stage ?Life_stage XREF Expr_pattern #Qualifier
                              Anatomy_term ?Anatomy_term XREF Expr_pattern #Qualifier
                              GO_term ?GO_term XREF Expr_pattern #GR_condition
                              Not_in_Life_stage ?Life_stage #Qualifier
                              Not_in_Anatomy_term ?Anatomy_term #Qualifier
                              Not_in_GO_term ?GO_term #GR_condition
              Subcellular_localization ?Text
              Type Antibody ?Text
                   Cis_regulatory_element Text
                   EPIC ?Text
                   Genome_editing ?Text
                   In_situ Text
                   Localizome ?Text
                   Microarray ?Microarray_experiment
                   Northern Text
                   Reporter_gene ?Text
                   RNASeq ?Analysis
                   RT_PCR Text
                   Tiling_array ?Analysis
                   Western Text
              Expression_cluster ?Expression_cluster XREF Expr_pattern //added for localizome
              Microarray_results ?Microarray_results XREF Expr_Pattern
              Pattern ?Text
              Picture ?Picture XREF Expr_pattern
              MovieURL Text //Added by wen for link to movie URLs.
              Movie ?Movie XREF Expr_pattern  //Added by Wen to curate Expr_pattern video
              Species UNIQUE ?Species
              Remark ?Text #Evidence
              DB_info ?Database ?Database_field Text
              Experiment Laboratory ?Laboratory
                         Author ?Author
                         Date UNIQUE DateType
                         Strain UNIQUE ?Strain
              Reference ?Paper XREF Expr_pattern
              Transgene ?Transgene XREF Expr_pattern
              Variation ?Variation XREF Expr_pattern
              Construct ?Construct XREF Expression_pattern
              Associated_feature ?Feature XREF Associated_with_expression_pattern #Evidence
              Antibody_info ?Antibody XREF Expr_pattern // This applies to both Western & Antibody staining
                                                        // added [031120 krb]
              Curated_by UNIQUE Text // Hinxton (HX) or Caltech (CIT) Sylvia [010927 krb]
              Historical_gene ?Gene Text

//Qualifer hash will be used for Expr_pattern curation to specify the reliability of data.

#Qualifier Certain
           Uncertain             //For faint or variable expression
           Partial               //For expression of unidentified cell in a cell group
           Anatomy_term ?Anatomy_term //combines life stage with anatomy term in expr pattern annotation
           Life_stage  ?Life_stage    //combines life stage with anatomy term in expr pattern annotation
           Remark Text  //New tag to take the optional text from the Certain/Uncertain/Partial nested tags above.


Tags used in Expr_pattern objects (WS221):

Laboratory Expr_pattern Pattern Life_stage Gene Antibody Subcellular_localization GO_term Western Transgene Protein_description In_Situ Author Anatomy_term Reporter_gene Picture Date Reference Expressed_in Antibody_info Protein Northern Clone Cell RT_PCR Strain Remark MovieURL Pseudogene Curated_by Sequence

Types of fields Juancarlos can implement:

   * text : text
   * bigtext : text box expanded
   * dropdown : few values
   * ontology : controlled vocabulary 
   * multiontology / multidropdown : allows multiple values
   * toggle : on / off

Genes with expression

to check the number of genes that do have expression objects you should run this script on tazendra:


  • 5575 as of August 2014
  • 5734 as of January 2016

WS248 numbers

for expression in WS248 we have 19052 objects coming from Yanai elegans; 68097 for Yanai other species, 10545 for Miller tiling arrays and 13877 manually curated -> 111571 total for pictures in WS248 we have 19052 objects coming from Yanai elegans; 68097 for Yanai other species,and 13912 manually curated for a total of 101061.

These are the statistics from citace that Wen pulled on May 11th 2015: Here are the changes from WS243 to WS248:

find Antibody: 2525 --> 2785, 260 added.
find Anatomy_term: 6839 --> 6842, 3 added.
find Anatomy_function: 598 --> 924, 326 added.
find DO_term: 6350 --> 6571, 221 added.
find Expr_pattern: 42979 --> 111571, 68592 added.
find Picture: 32636 --> 101061, 68425 added.

OA interface

OA editor label -- postgres table name -- type of table and description.


On February 2015 we ahve added the qualifier life stage field so we could capture anatomy and life stage associated to each other. We have added a qualifier_lifestage field and modified the dumper so that whenever there is an anatomy and a life stage in the qualifier life stage it will dump:

Expr_pattern : "Expr12000"
Anatomy_term	"WBbt:0004575" Life_stage "WBls:0000264"
Life_stage "WBls:0000264" Anatomy_term	"WBbt:0004575" 

we also set it up in a way that if only the qualifier life stage is filled it will dump it-this is because data entered in the life stage field in the micropublication form will go into exp_qualifierls


  • Pgdbid -- no table -- postgres database ID, generates automatically upon entry.
  • Expr_pattern -- Expr_pattern : "exp_name" -- text -- Expression Pattern ID is generated when creating a new object. Take the highest Expr_patternID and increase by one When making a new row, the OA looks at all entries in exp_name that begin with "Expr", then captures the numbers, finding the highest number, adds 1 to it, puts 'Expr' in front, and uses that as the new name.
  • Reference -- Reference "exp_paper" -- multiontology on paper WBPaperID - multiontology there are Expr objects with multiple papers associated. A query for that is: testdb=> SELECT * FROM exp_paper WHERE exp_paper ~ ','; and the result:
302     | "WBPaper00001926","WBPaper00001469"                   | 2011-05-31 11:37:14.153562-07
5478    | "WBPaper00002573","WBPaper00002922"                   | 2011-05-31 12:04:27.053611-07
5479    | "WBPaper00001785","WBPaper00002922"                   | 2011-05-31 12:04:27.284807-07
5501    | "WBPaper00003285","WBPaper00001812"                   | 2011-05-31 12:04:34.649968-07
5502    | "WBPaper00003285","WBPaper00001812"                   | 2011-05-31 12:04:34.893549-07
5557    | "WBPaper00001014","WBPaper00002319","WBPaper00000647" | 2011-05-31 12:04:50.273589-07
5558    | "WBPaper00001014","WBPaper00002319","WBPaper00000647" | 2011-05-31 12:04:50.51613-07
5559    | "WBPaper00001014","WBPaper00002319","WBPaper00000647" | 2011-05-31 12:04:50.724796-07
5689    | "WBPaper00002573","WBPaper00002922"                   | 2011-05-31 12:05:33.692997-07
5707    | "WBPaper00001014","WBPaper00002319","WBPaper00000647" | 2011-05-31 12:05:42.104837-07
8260    | "WBPaper00031556","WBPaper00032077"                   | 2011-05-31 12:18:44.374796-07
  • Person -- "exp_person" 'multiontology on WBPersons, used to capture people for personal communications and to capture what was stored in the 'Author' field for old annotations. Added on feb 8th, 2021
  • Gene -- Gene "exp_gene" -- multiontology on genes WBGeneID - show WBID, locus, and synonym in term info
  • Endogenous -- "exp_endogenous" toggle tag in ace file Reflects_endogenous_expression_of
  • Rel Anatomy -- "exp_relanatomy" dropdown on part_of
  • Anatomy -- Anatomy_term "exp_anatomy" exp_qualifier "exp_qualifiertext" -- multiontology. Daniela will associate different Anatomy-qualifier-qualifier_text in different OA rows, so some Expr objects will have multiple rows / multiple pgids. When querying by any of these fields, if editing a different field, the curator should query by Expr to make sure all pgids for that object have that other field edited.
  • Qualifier -- exp_qualifier -- dropdown -- Certain / Uncertain / Partial / NOT (NOT is not dumping for now. Added feb 2015 to capture negative expression)
  • Anatomy certain -- exp_certain -- multiontology. Controlled vocabulary found here: (same as in Picture OA). We need to have 3 different Anatomy term boxes, one for the Partial, one for the certain and one for the uncertain Qualifiers.
  • Anatomy Partial -- exp_partial -- multiontology.
  • Anatomy Uncertain -- exp_uncertain -- multiontology.
  • Anatomy no qualifier-- exp_noqualifier -- multiontology. We added this field because when we parsed the old expr_pattern data (WS226) 5518 anatomy_term lines did not have a #Qualifier.
  • Qualifier Text -- exp_qualifiertext -- bigtext
  • GO_term -- GO_term "exp_goid" -- multiontology of GO_Term like gop_goid.
  • Subcellular_localization -- Subcellular_localization "exp_subcellloc"-- bigtext, details on subcellular localization.
  • Rel LS -- "exp_rellifestage" dropdown on part_of and happens_during
  • Life_stage -- Life_stage "exp_lifestage" Convert the life stage IDs into names from the obo_name_lifestage -- multiontology like in the phenotype OA and picture OA
  • Species -- "exp_species"

on Nov 3rd 2014 we have added 4 fields that will not be dumped yet but will be used to aid granular curation and to port annotation extension into GO (and implemented also relations on feb 2015)

  • Qualifier LS -> multiontology on life stages -> exp_qualifierls dependent_on
  • GR Anatomy -> multiontology on anatomy terms -> exp_granatomy
  • GR LS -> multiontology on life stages -> exp_grlifestage
  • Rel Cell Cycle -- "exp_relcellcycle" dropdown on part_of, independent_of, happens_during, dependent_on
  • GR Cell Cycle -> multiontology on GO -> exp_grcellcycle

Juancarlos parsed .ace dump from WS226: 5518 anatomy_term lines without a #Qualifier at all in expr_no_qualifier

2703 anatomy_term lines with #qualifier and extra text in expr_data_with_extra_anatomy. expr_data_with_extra_anatomy_categorized 796 unique text-expr linked to various anat_terms in expr_data_with_extra_anatomy for example, look at "Expressed in ventral male specific muscles." which has a unique Expr to multiple anat_terms ; or "1 neuron" linked to multiple different expr / anat_term


  • Type -- exp_exprtype -- multidropdown select from: Antibody, Reporter_gene, In_situ, RT_PCR, Northern, Western
  • Antibody_Text -- Antibody "exp_antibodytext" -- bigtext " this tag was used 462 times in WS221
  • Reporter_gene_Text -- Reporter_gene "exp_reportergene" -- bigtext " this tag was used 7273 times in WS221 and has been used twice for the same object -> lines are | separated. Details on reporter gene construct. Multiline, the dumper dumps multiple lines
  • In_Situ -- In_Situ "exp_insitu" -- bigtext " this tag was used 434 times in WS221
  • RT_PCR -- RT_PCR "exp_rtpcr" -- bigtext " this tag was used 165 times in WS221
  • Northern -- Northern "exp_northern" -- bigtext " this tag was used 347 times in WS221
  • Western -- Western "exp_western" -- bigtext " this tag was used 19 times in WS221

We have a multidropdown on the values above AND we have bigtext fields for each of the values above. D&J decided this on March 21

  • Picture -- exp_picture -- Multiontology on Picture We will remove this tag: Picture objects will be created in Picture OA and XREF to Expr_pattern. They will not be entered here. Removed from OA -- J We removed Pictures form Expr_pattern as they are XREF'd to it
  • Picture flag -- exp_pictureflag -- toggle notify picture person with a cronjob every 2 weeks. We keep this even if we remove the Picture tag (not currently used)
  • Antibody_info -- Antibody_info "exp_antibody" -- multiontology on antibodies
  • Antibody flag -- exp_antibodyflag -- toggle -> notify antibody person with a cronjob every 2 weeks
  • Pattern -- Pattern "exp_pattern" -- bigtext, details on tissue distribution. Multiline
  • Remark -- Remark "exp_remark" -- bigtext, if any comments required. Multiline
  • Transgene -- Transgene "exp_transgene" -- multiontology on transgenes.
  • Construct -- Construct "exp_construct" -- multiontology on constructs.
  • Transgene flag -- exp_transgeneflag -- toggle -> notify transgene person with a cronjob every 2 weeks
  • Sequence_feature -- exp_seqfeature -- multiontology on Features (WBsfIDs)
  • Curator -- exp_curator -- Multiontology on people
  • No dump -- exp_nodump -- Toggle Expr_pattern objects not to dump. If an Expr_pattern object is flagged as no dump, don't dump any data for that pgid, nor any other pgid that corresponds to the Expr_pattern object. (Read all exp_nodump + exp_name into a hash of Expr_patterns to not-dump.)


  • Protein_description -- Protein_description "exp_protein" -- text (30 objects)

Clone and Strain lists could taken from spica from /home/citpub/arun/wb_entities/known_entities All of these don't have any Term Info (nor synonyms) if you need either of those you'd have to query WS for it, Karen probably knows how, she does it for other objects -- J ok, I don't think I'll need a term info and I need it mainly to parse old data which have a clone attached. so for now is fine as it is D ok, I'll change the parser to read these. this lists are kept updated with what is in acedb daily using the following cronjob: 06 23 * * * cd /home/citpub/arun/wb_entities; ./

In July 2014 there was a change in Hinxton that affected the clone list. From Juancarlos:
Thanks Paul D.  I've switched the script to look at clones2.ace.gz
instead of  clones.ace.gz  and the data seems to have read in fine.  

The script is not in a repo, but I've symlinked it so it shows here
so it will always be the current version there.  The best thing though
would probably be to look at the wiki, to see what the script is
supposed to do, and I don't know where or if there is a wiki for it.
Karen, do we have one ?

Clone and Strain lists could take from spica from /home/citpub/arun/wb_entities/known_entities this lists are kept updated with what is in acedb daily using the following cronjob: 06 23 * * * cd /home/citpub/arun/wb_entities; ./

  • Sequence -- Sequence "exp_sequence" -- text (13 objects) F54E2 2x (clone), R05D8 2x (clone), Y38B5A (clone), "Z28375" -C "EMBL Z28375" (sequence), "Z28376" -C "EMBL Z28376" (sequence), "Z28377" -C "EMBL Z28377" (sequence), R11H6 (clone), Y40H4A (clone), U14525, C47G2 (clone), Z32673 (sequence). Obsoleted February 2021
  • MovieURL -- MovieURL "exp_movieurl" -- (32 objects) text
  • Laboratory -- Laboratory "exp_laboratory" -- ontology (17 objects)
  • Variation -- Variation "exp_variation". Multiontology on variations


  • Micropublication exp_micropublication toggle
  • removed from OA on Feb 8 2021, the fields below were initially put in for micropubs but are no longer needed:
    • Contact- ontology on persons -exp_contact
    • e-mail exp_email
    • Co-authors exp_coaut
    • Funding exp_funding

Protein field addition to OA

Since we will have expression data dumped into protein-to-GO, we need a protein field to capture the right protein isoform whenever authors specify isoform-specific subcellular localization.

On Oct 23rd 2017 Juancarlos moved data that was present in the 'exp_protein' postgres table to a new table called 'exp_proteindesc'. He then used the protein table to store the Protein IDs. He added a new field on tab 3 of Expression OA called exp_protein, that autocompletes on protein names. It is a multi ontology field - it could be that 2 isoforms share the same pattern/reagents. The field is dumped as Protein "WP:CE06704"


The field Microarray_results has been added to the model for WS247. This will allow mapping to gene for other species (remanei, briggsae, japonica) coming from the Yanai study. Hinxton is mapping Microarray_results to Gene on the fly.

Make sure in the future not to add Microarray_result to C elegans expression objects to avoid overwriting any curated Gene references- DR 01-07-2015


  • Curated_by -- exp_curatedby -- text (6228 objects) This is a legacy thing, the values are only Hinxton and Caltech.

In July 2014 we discussed to remove the Curated_by data. Generated a -D file for Citace minus. Deposited on CitaceMinus for the WS245 upload. /Users/danielaraciti/Desktop/Expression_pattern curation/Curated_by/Curated_by.ace.edited. In Expression OA all the objects that had a Curated_by HX tag are now assigned to Sylvia MArtinelli -the one who historically set the Curated_by tag in the model the list of pgids that were changed is here: /Users/danielaraciti/Desktop/Expression_pattern curation/Curated_by/Curated_by_hinxton.rtf

  • Curated_by is currently used just by chronograms

obsolete fields

February 2021: Request a model change to get rid of the following tags, more info below:

  • Cell
  • Cell_group
  • Author -- exp_author
  • Date -- exp_date (2617 objects)
  • Protein_description
  • Expressed_in - text 1 entry. No info attached to this term. Left out DR 06062011
  • Protein - text 1 entry could be put in Protein_description. Expr1941 done DR 06062011
  • Pseudogene - text (1 object) Expr111 done DR 06062011
  • CDS
  • Sequence

  • Cell -- exp_cell -- text (26 objects)-> Consolidate these objects with the Anatomy_term field done DR 06062011:

Expr_pattern : "Expr7477" Cell "P3.p" Certain Cell "P4.p" Certain Cell "P5.p" Certain Cell "P6.p" Certain Cell "P7.p" Certain Cell "P8.p" Certain

done DR 06062011

Expr_pattern : "Expr7595" Cell "CANL" Uncertain Cell "CANR" Uncertain

done DR 06062011

Expr_pattern : "Expr7605" Cell "M4" Certain

done DR 06062011

Expr_pattern : "Expr7632" Cell "AVG" Certain Cell "M5" Certain Cell "PVT" Certain Cell "PVCL" Uncertain Cell "PVCR" Uncertain Cell "PVNL" Uncertain Cell "PVNR" Uncertain Cell "PVQL" Uncertain Cell "PVQR" Uncertain

done DR 06062011

Expr_pattern : "Expr7691" Cell "P3.p" Certain Cell "P4.p" Certain Cell "P5.p" Certain Cell "P6.p" Certain Cell "P7.p" Certain Cell "P8.p" Certain

done DR 06062011

Expr_pattern : "Expr8715" Cell "M.dlpa" Certain Cell "M.drpa" Certain

done DR 06062011

  • Authors and Date: Data stored in ?Author is legacy data. File was on citace minus. Wen created a -D file to delete such data for WS281. We decided on 02.11.2021 during the WB meeting that we will import names of authors present in the ?Author tag that are not listed as coauthors of the publication attached tot he Expr_pattern object. For those, we will also capture the date. These info was added to the remark field for the following objects on 02.12.2021:

WBPaper00005281: Expr26, Expr92, Expr94, Expr107, Expr112 WBPaper00001469: Expr55 WBPaper00002318: Expr133, Expr134, Expr135, Expr136, Expr137, Expr27, Expr60, Expr61, Expr62, Expr63, Expr64, Expr65, Expr66, Expr67, Expr68 WBPaper00001752: Expr46, Expr47, Expr48, Expr49, Expr50, Expr51, Expr52 WBPaper00001358: Expr56 WBPaper00002049: Expr59 WBPaper00001456: Expr86 WBPaper00002551: Expr87

To see a list of Expr_objects that included Author and Date Data, check the WS279.ace file on the WB FTP site.

    • To DO still: upload -D file on Spica (done), request a model change (done) dump the author data (todo)
  • Protein_description 33 objects -> Decision: Move to remarks -> Done DR 2021/02/26. Redundant info such as CPL-1 in Protein_description and CPL-1 in gene name were omitted.
Example: Expr_pattern : "Expr450"
	Gene	 "WBGene00000776"
	Protein_description	 "CPL-1"

	Expr_pattern : "Expr552"
	Gene	 "WBGene00006528"
	Protein_description	 "Tubulin alpha"
  • Sequence 12 objects -> Decision: Move to remarks. Done DR 2021/03/15
Example: Expr_pattern : "Expr12"
		      Gene	 "WBGene00003976"
		      Sequence	 "Z28377|Z28375|Z28376"
    • Laboratory 23 objects -> can infer via publication -> Decision: good to ignore
Example: Expr_pattern : "Expr87"
	Laboratory	 "ML"
	Gene	 "WBGene00003012"

Tags used only once that should be fixed

  • Homol_homol tag is used in Chronograms -> we will not include Chronograms in the OA.

Comments for Parsing ExprCitace226 into OA

Parsing files in /home/postgres/work/pgpopulation/exp_exprpattern Many entries for Anatomy_term don't have one of the Certain/Partial/Uncertain. We leave them without the qualifier.

Chronogram tags

Right_priority Localizome Show_up_strand GFF_source Width Picture Reporter_gene Reference Gene Allow_misalign GFF_feature Transgene Homol_homol Remark Strain Colour Curated_by

the script to get the tags (e.g. from ExprWS221.ace or from Chronograms.ace) was written by Yuling, is called and is located under desktop/Varia_protocols/get_tags

We will not include Chronograms in Expr_OA anyway as they are one time large scale exp. We have 2084 chronograms

to fix manually

* INVALID DATA antibody [WBPaper00032450]:capg-1 Expr8708 * INVALID DATA antibody [cgc3002]:beta-filagenin Expr1442 * INVALID DATA antibody [cgc4387]:hsp-16.2 Expr1117 * INVALID DATA antibody [cgc6057]:daf-21 Expr2687

  • INVALID DATA goid GO:0000141 Expr3919 Done DR06062011
  • INVALID DATA goid GO:0008221 Expr7871 Done DR06062011
  • INVALID DATA transgene Is001 Expr2646 Done DR06062011
  • INVALID DATA transgene Is007 Expr2646 Done DR06062011
  • INVALID DATA transgene leals30 Expr9151 Done DR06062011
  • INVALID DATA transgene pZMI.1In1 Expr725 Done DR06062011
  • INVALID DATA transgene pZMI.1In2 Expr725 Done DR06062011

Need to correct the expression pattern transgene name

  • Is001 -> WBPaper00006024_Is001 for Expr2646 WBPaper00006024 Done DR06062011
  • Is007 -> WBPaper00006024_Is007 for Expr2646 WBPaper00006024 Done DR06062011
  • pZMI.1In1 -> WBPaper00002501_In1 for Expr725 WBPaper00002501 Done DR06062011
  • pZMI.1In2 -> WBPaper00002501_In2 for Expr725 WBPaper00002501 Done DR06062011
  • Add leals30 Expr9151 WBPaper00037728 Done DR06062011

Need to correct the expression pattern GO name

  • GO:0000141 is now GO:0032432 Done DR06062011
  • GO:0008221 is now GO:0016529 Done DR06062011

There was a list of Anatomy term objects with invalid IDs. this is the mapping for the new ids:

  • Old ID New ID
  • WBbt000:6748 WBbt:0006748
  • WBbt:0003852 WBbt:0003851
  • WBbt:0004397 WBbt:0008116
  • WBbt:0004398 WBbt:0008111
  • WBbt:0004401 WBbt:0004392
  • WBbt:0004459 WBbt:0003664
  • WBbt:0004514 WBbt:0008052
  • WBbt:0004515 WBbt:0008050
  • WBbt:0004717 WBbt:0008046
  • WBbt:0004718 WBbt:0008051
  • WBbt:0004719 WBbt:0008049
  • WBbt:0004720 WBbt:0008047
  • WBbt:0004721 WBbt:0008045
  • WBbt:0004722 WBbt:0008044
  • WBbt:0005099 WBbt:0005830
  • WBbt:0005211 WBbt:0005801
  • WBbt:0005228 WBbt:0005214
  • WBbt:0005323 WBbt:0005831
  • WBbt:0005814 WBbt:0006909
  • WBbt:6789 WBbt:0006789

all OK

Clean up of objects that did not have a reference nor Author

February 2021

  • Clean up of expr_pattern data that did not have a reference nor a Person associated. These are empty old pattern objects. They have been deleted from postgres. Can track if necessary by looking at .ace files older than WS280 with a 'Merged to' search.
Expr_pattern : "Expr1996"
Remark	"Merged to Expr2436."

Importing the large large scale Expression_pattern left on Citace Minus into OA

File is on tazendra WS232LargeScaleExpr.ace

-D file for the import generated by Juancarlos /home/postgres/work/pgpopulation/exp_exprpattern/20120502_largescale/DashDWS232LargeScaleExpr.ace

there were only "Date" data. not Curated_by nor Author. We kept the "Data" values on Citace minus as we did for the previous import. The other field we ignored was pictures but we did not keep them in Citace Minus as we get them via Picture OA.

-D file deposited in CitaceMinus Data_for_Citace_minus/Data_from_Daniela on May 9th 2012

Serial numbers for large scale imports

Itai Yanai WBPaper00041190 C elegans (Expr starting with 101 and 102)
         Expression Expr1010178           to     Expr1029229
         Picture    WBPicture0001011201   to     WBPicture0001030252  

David Miller Wormviz (Expr starting with 103 and 104)
         Expression Expr1030000           to     Expr1040545
         No pictures associated to the study

Itai Yanai WBPaper00041190 Other species (briggsae, japonica, remanei. They never transferred brenneri) (Expr starting with 105 till 111)
         Expression Expr1050000          to     Expr1118096
         Picture    WBPicture0001030253   to     WBPicture0001098349 
Gap in numbering expression objects and pictures (Expr1118097 till Expr1142791, WBPicture0001098350 till WBPicture0001123044) 
to leave the slot for the missing brenneri data, in case they will submit

Itai Yanai WBPaper00046121
         Expression Expr1142792          to     Expr1163308
         Picture    WBPicture0001123045  to WBPicture0001143561

TransgeneOme project WBPaper00041419
         Reserved Expression Expr1200000 to Expr1300000
         Reserved Picture    WBPicture0002000000  to WBPicture0003000000
the first expression object generated will always be Expr1200000, and Picture WBPicture0002000000
The system is dynamic, we will always have a different number of objects every release, according to what new they add in TransgeneOme DB

Itai Yanai large scale import -WBPaper00041190

In order to display pictures of expression time course we needed to generate expression objects. The objects (Expression and Picture) will be deleted once Wen will finish curating microarray for all species described in the paper and once we will have in place a way to generate images of expression on the fly - data will be retrieved directly from SPELL.

For now Daniela and Juancarlos have generated 2 .ace files, one for pictures and one for expression. the files are on CitaceMinus. The files are called expr_pattern_Yanai.ace and pictures_Yanai.ace

Expression pattern and Picture objects were given high numbers so when the new display system will be in place those could be deleted without affecting anything in OA.

Expression objects go from Expr1010178 to Expr1029229

Picture objects go from WBPicture0001011201 to WBPicture0001030252

there are 19052 objects for each class.

Files are also located here /Users/danielaraciti/Desktop/Citace_upload/Citace Minus Yanai

on december 5th 2014 other species pictures have been added too briggsae, remanei and japonica

Expr from Expr1050000
Pictures from WBPicture0001030253 on

Additional info on Yanai_Instructions_other_species2 on Lario

total number of objects: 20294 briggsae+ 21908 japonica+ 25895 remanei = 68097

  • the objects will go in WS247

Hinxton will generate the WBGene name on the fly according to Microarray_results

TOTAL Yanai import elegans + other species: 87149

Itai Yanai 2015 large import -WBPaper00046121

Files here /Users/danielaraciti/Desktop/Expression_pattern curation/Large scale/yanai_2015

  • Uploaded 20.517 objects for expression and pictures
  • Expr from Expr1142792 till Expr1163308
  • Pictures from WBPicture0001123045 till WBPicture0001143561
  • NB: there is a gap in numbering expression objects (Expr1118097 till Expr1142791)> this is because Yanai's lab did not submit brenneri's pictures yet. We inquired few times but they were never transferred. We left the numbers available for the future. The brenneri.ace files to be transferred to spica once they submit the images are located here (Lario):
  • /Users/danielaraciti/Desktop/brenneri

TransgeneOme import

We are going to import expression data (Images, constructs, and annotations) from the TransgeneOme project -Sarov et al., Cell, 2012. WBPaper00041419.

TransgeneOme import

David Miller tiling arrays import -WBPaper00037950

We want to add links to Wormiz for each gene in order to display graphic expression profiling from tiling arrays. We are going to request a model change for Expr_pattern by adding a DB_INFO tag.

DB_INFO ?Database ?Database_field Text

We will also request the inclusion of Microarray and Tiling Array for Type

Type	Reporter_gene ?Text
			In_situ Text
			Antibody ?Text
			Northern Text // Wen [krb 030425]
                        Western Text  // Wen 
                        RT_PCR Text   // Wen
			Localizome ?Text //added by Wen
                        Microarray ?Microarray_experiment  // Daniela
                        Tiling_array ?Analysis// Daniela

In this way will be easier to filter out Yanai and Miller's dayta for being displayed in a separate widget possibly called 'Expression profiling graphs'. Model change requested on 10-09-2013. Daniela and Juancarlos have generated a .ace file that was tested and read fine in acedb. More info on how the file was generated here: /home/acedb/draciti/Expr_pattern/Miller_import. Please note that the script generates "Tiling Array" in the Type. The actual tag is Tiling_array. D have changed it manually in the .ace file. Since during the process of model approval it was suggested to add ?Analysis for the tiling Arrays D modified the file and replaced it on CitaceMinus. The file is also stored here on Lario /Users/danielaraciti/Desktop/Citace_upload/Citace Minus Miller/WBPaper00037950.ace

How the file looks like

Database : "Wormviz"
Name    "Wormviz"
URL     "http:\/\/\/wormdoc\/wormmap\/Welcome.html"
URL_constructor "http:\/\/\/wormviz\/tileviz.jsp?experiment=wormviz&normalization=absolute&probesetcsv=%s"

Expr_pattern : "Expr1030000"
Gene	"WBGene00000001"
Pattern	"Tiling arrays expression graphs"
Reference	"WBPaper00037950"
DB_INFO	"Wormviz" "id" "WBGene00000001"

Expr_pattern : "Expr1030001"
Gene	"WBGene00000002"
Pattern	"Tiling arrays expression graphs"
Reference	"WBPaper00037950"
DB_INFO	"Wormviz" "id" "WBGene00000002"

Object names from Expr1030000 to Expr1040545. 10,546 objects

Hench large scale import -Endrov


Files sent to Juancarlos to create the .ace file: on tazendra: /home/acedb/draciti/Hench

.ace file generated here: on tazendra /home/azurebrd/work/parsings/daniela/20210922_hench/

Expr from Expr1170000 till Expr1170087 Pictures from WBPicture0001150000 till WBPicture0001150087 Movies WBMovie0000100000 till WBMovie0000100087

Reilly 2020 - WBPaper00060123

The large scale dataset from Reilly, 2020, WBPaper00060123 was imported into OA via script. Files here: /Users/draciti/Desktop/Reilly/Reilly_202109_for_Juancarlos

Script to parse the supplemental tables- tazendra /home/postgres/work/pgpopulation/exp_exprpattern/20210915_reilly_set/to_populate

starting at pgid 19442 Expr15560-Expr15660

EPIC detailed

Cell/time specific expression data have been generated by Wen /Users/danielaraciti/Desktop/Expression_pattern curation/Large scale/Murray/epic.ace

the folder contains also the digitized sulston tree, the files that John Murray sent with positive/negative calls and the lifestage.ace containing all the new life stages

the EPIC.ace file was uploaded on CitaceMinus for WS246

Deleting files from Citace Minus

After parsing the WS226 data into OA we dumped a .ace file for generating a -D file to delete objects from Citace Minus. To the file were added manually all the invalid objects found while parsing the data (e.g. old anatomy term IDs, old GO terms, invalid transgenes and antibody objects) See list in Data to fix manually in this wiki.

Expression-paper association

For papers curated:

find Expr_pattern; follow Reference

For genes related:

find Expr_pattern; follow Gene


Sequence filed does not dump fine e.g. Expr_pattern : "Expr980" Sequence "R05D8|F54E2". Need to fix it. Fixed 06162011

Module located here: /home/postgres/work/citace_upload/expr_pattern/

Script that calls the module located here: /home/postgres/work/citace_upload/expr_pattern/*

use lib qw( /home/postgres/work/citace_upload/expr_pattern ); # this command line tells where to look for the module use get_expr_pattern_ace; # tells to use the module

my $outfile = 'expr_pattern.ace'; my $errfile = 'err.out'; # we did not set any rule for errors yet

open (OUT, ">$outfile") or die "Cannot create $outfile : $!\n"; open (ERR, ">$errfile") or die "Cannot create $errfile : $!\n";

my ($all_entry, $err_text) = &getExprPattern('all'); # uses the module to get all the Expr_pattern objects

print OUT "$all_entry\n"; # prints everything into the output expr_pattern file if ($err_text) { print ERR "$err_text\n"; } # prints error into the output error file

close (OUT) or die "Cannot close $outfile : $!"; close (ERR) or die "Cannot close $errfile : $!";


package get_expr_pattern_ace; #name of the package require Exporter; # exports so that other perl scripts can use it

  • our @ISA = qw(Exporter);
  • our @EXPORT = qw( getExprPattern ); # we are only exporting the getExprPattern subroutine
  • our $VERSION = 1.00;

  • use strict;
  • use diagnostics;
  • use DBI;

  • my $dbh = DBI->connect ( "dbi:Pg:dbname=testdb", "", "") or die "Cannot connect to database!\n"; # connect to postgres and the testDB database
  • my $result;
  • my %theHash; # where all the data are going to be stored
  • my @tables = qw( name paper gene endogenous anatomy qualifier qualifiertext qualifierls goid subcellloc lifestage exprtype antibodytext reportergene insitu rtpcr northern western antibody pattern remark transgene construct curator nodump protein clone strain seqfeature sequence movieurl laboratory variation species ); # all the tables that have data
  • my @maintables = qw(qw( paper gene anatomy goid subcellloc lifestage qualifierls exprtype antibodytext reportergene insitu rtpcr northern western antibody pattern remark transgene construct protein clone strain seqfeature sequence movieurl laboratory variation species ); # tables that have .ace tags

  • my $all_entry = ; # where all the .ace data is going to go
  • my $err_text = ; # where all the error data is going to go
  • my %nameToIDs; #maps the expr_object id to PGID # type -> name -> ids -> count
  • my %ids; #list of PGIDs
  • my %pipeSplit; #tables that need to split on pipes
  • my %tableToTag; #mapping table to the .ace tag
$tableToTag{paper}         = 'Reference';
$tableToTag{gene}          = 'Gene';
$tableToTag{anatomy}       = 'Anatomy_term';
$tableToTag{qualifierls}   = 'Life_stage';
$tableToTag{goid}          = 'GO_term';
$tableToTag{subcellloc}    = 'Subcellular_localization';
$tableToTag{lifestage}     = 'Life_stage';
$tableToTag{exprtype}      = 'Special';
$tableToTag{antibodytext}  = 'Antibody';
$tableToTag{reportergene}  = 'Reporter_gene';
$tableToTag{insitu}        = 'In_situ';
$tableToTag{rtpcr}         = 'RT_PCR';
$tableToTag{northern}      = 'Northern';
$tableToTag{western}       = 'Western';
$tableToTag{antibody}      = 'Antibody_info';
$tableToTag{pattern}       = 'Pattern';
$tableToTag{remark}        = 'Remark';
$tableToTag{transgene}     = 'Transgene';
$tableToTag{protein}       = 'Protein_description';
$tableToTag{clone}         = 'Clone';
$tableToTag{strain}        = 'Strain';
$tableToTag{sequence}      = 'Sequence';
$tableToTag{movieurl}      = 'MovieURL';
$tableToTag{laboratory}    = 'Laboratory';

  • my %ontologyIdToName; # mappings for ids to names (only for life stage)


sub getExprPattern {

  • my ($flag) = shift; #can be all or the name for an expr_id

&populateOntIdToName(); #call the subroutine a thte bottom of the page for life stage name mapping

if ( $flag eq 'all' ) { $result = $dbh->prepare( "SELECT * FROM exp_name ; " ); } # get all entries for type else { $result = $dbh->prepare( "SELECT * FROM exp_name WHERE exp_name = '$flag' ;" ); } # get all entries for type of object name $result->execute(); # execute the query while (my @row = $result->fetchrow) { # it's going to do the following for every row of the query

$theHash{object}{$row[0]} = $row[1];  # it's going to map the PGIDs to the Expr_ID
$nameToIDs{object}{$row[1]}{$row[0]}++; # for every Expr_ID we will get all the corresponding PGIDs
$ids{$row[0]}++; } # list of all the PGIDs
  • my $ids = ; my $qualifier = ; # if it looks for a specific subset of Expr_pattern it searches only for that subset of PGIDs from the %ids

if ($flag ne 'all') { $ids = join"','", sort keys %ids; $qualifier = "WHERE joinkey IN ('$ids')"; } foreach my $table (@tables) {

$result = $dbh->prepare( "SELECT * FROM exp_$table $qualifier;" );		# get data for table with qualifier (or not if not)

while (my @row = $result->fetchrow) { $theHash{$table}{$row[0]} = $row[1]; } # loops for all the values and store them in the hash } # foreach my $table (@tables) my %e1 = &getData($table, $joinkey);

         my %e2 = &getData('qualifier', $joinkey);
         my %e3 = &getData('qualifiertext', $joinkey);
         my %e4 = &getData('qualifierls', $joinkey);
         my $l2_exists = 0; my $l3_exists = 0; my $l4_exists = 0;
         foreach my $e1 (sort keys %e1) {
           foreach my $e4 (sort keys %e4) {                            # dump anatomy to qualifierls in both directions for every crossproduct, if there is an anatomy.  2015 02 03
              $cur_entry{"$tag\t\"$e1\" Life_stage \"$e4\"\n"}++;
              $cur_entry{"Life_stage\t\"$e4\" Anatomy_term \"$e1\"\n"}++; }
           foreach my $e2 (sort keys %e2) {
             foreach my $e3 (sort keys %e3) {
               $cur_entry{"$tag\t\"$e1\" $e2 \"$e3\"\n"}++; $l3_exists++; }
             unless ($l3_exists) {
               $cur_entry{"$tag\t\"$e1\" $e2\n"}++; $l2_exists++; } }
           unless ( ($l2_exists) || ($l3_exists) || ($l4_exists) ) {
             $cur_entry{"$tag\t\"$e1\"\n"}++; } } }
       elsif ($table eq 'qualifierls') {                               # micropub data could have qualifierls without anatomy
         my %e1 = &getData($table, $joinkey);
         my %e2 = &getData('anatomy', $joinkey);
         if (scalar keys %e2 < 1) {                                    # if there is no anatomy data, dump each qualifierls (if there was anatomy it would have dumped above under the anatomy section)
           foreach my $e1 (sort keys %e1) {
             $cur_entry{"$tag\t\"$e1\"\n"}++; } } }

foreach my $name (sort keys %{ $nameToIDs{object} }) { #loops through all the names that are in the $nameToIDs{object}

  • my $entry = ; my $has_data; # entry has .ace data for that expr_object. $has_data is a flag for object that have data

$entry .= "\nExpr_pattern : \"$name\"\n"; # add o the .ace entry the header Expr_pattern : "Expr1234"

  • my %cur_entry; # is going to be a hash for filtering things (duplicated objects for qualifier -partial certain uncertain- excludes the duplicated rows that are overlapping

foreach my $joinkey (sort {$a<=>$b} keys %{ $nameToIDs{object}{$name} }) { # it loops through all the PGIDs for the current name next if ($theHash{nodump}{$joinkey}); # skips if the pgid has a NO DUMP flag foreach my $table (@maintables) { # it loops through the main tables (the ones with the .ace tag) next unless ($tableToTag{$table}); # it skips it if there's no tag

  • my $tag = $tableToTag{$table}; # gets the tag

if ($table eq 'anatomy') { # in case of anatomy it does the following

  • my %e1 = &getData($table, $joinkey); # gets the anatomy term list (based on the PGIDs)
  • my %e2 = &getData('qualifier', $joinkey); # gets the qualifier for the previous anatomy term list (based on the PGIDs)
  • my %e3 = &getData('qualifiertext', $joinkey); # gets the qualifier text for the previous anatomy term list (based on the PGIDs)
  • my $l2_exists = 0; my $l3_exists = 0; # by default there no qualifier and no qualifier text

foreach my $e1 (sort keys %e1) { # loops through all anatomy foreach my $e2 (sort keys %e2) { # loops through all qualifier foreach my $e3 (sort keys %e3) { # loops through all qualifier text $cur_entry{"$tag\t\"$e1\" $e2 \"$e3\"\n"}++; $l3_exists++; } # if it finds the qualifier and if it finds the qualifier text then it adds it to the filter for later printing and makes a note that it found a qualifier text unless ($l3_exists) { # if there is no qualifier text $cur_entry{"$tag\t\"$e1\" $e2\n"}++; $l2_exists++; } } # and it finds the qualifier then it adds it to the filter for later printing and makes a note that it found a qualifier unless ( ($l2_exists) || ($l3_exists) ) { # if there is no qualifier nor qualifier text $cur_entry{"$tag\t\"$e1\"\n"}++; } } } # then it adds it to the filter just the Anatomy tag and data (e.g. Anatomy_term^t "WBbt:1234567") elsif ($table eq 'exprtype') { # it checks for expr_type

  • my %entries = &getData($table, $joinkey); # gets data for expr_type and PGID

foreach my $entry (sort keys %entries) { $cur_entry{"$entry\n"}++; } } # for each data it adds the data to the filter but does not add the .ace tag else { my %entries = &getData($table, $joinkey); # gets data for every PGID and every other table that has a tag foreach my $entry (sort keys %entries) { $cur_entry{"$tag\t\"$entry\"\n"}++; } } # for each data it adds the data and the .ace tag to the filter } } # foreach my $joinkey (sort {$a<=>$b} keys %{ $nameToIDs{$type}{$name} }) foreach my $line (sort keys %cur_entry) { $entry .= $line; $has_data++; } # for each line in the filter it adds it to the .ace entry and it flag it has data if ($has_data) { $all_entry .= $entry; } # if it has data it adds this entry to all the entries } # foreach my $name (sort keys %{ $nameToIDs{$type} }) return( $all_entry, $err_text ); # it returns all the results to the use package script } # sub getExprPattern

sub getData { # get hash of values in this table

  • my ($table, $joinkey) = @_; # gets the tables and the PGID
  • my %entries; # it stores all the data for this tables and PGIDs

if ($theHash{$table}{$joinkey}) { # if it has data

  • my $data = $theHash{$table}{$joinkey}; # it gets the data

unless ($table eq 'remark') { if ($data =~ m/^\"/) { $data =~ s/^\"//; }    # it escapes with \ the " everywhere but not in the remarks field.     if ($data =~ m/\"$/) { $data =~ s/\"$//; } } if ($data =~ m/\//) { $data =~ s/\//\\\//g; } # it escapes / with \ //g; }data =~ s/ m/ # it strips the ^M lines if ($data =~ m/\n/) { $data =~ s/\n/ /g; } # it replaces line breaks with 2 spaces if ($data =~ m/^\s+/) { $data =~ s/^\s+//g; } if ($data =~ m/\s+$/) { $data =~ s/\s+$//g; } # if it begins or end with a space it gets rid of those

  • my @data; # this is an array for storing multiple data

if ($data =~ m/\",\"/) { @data = split/\",\"/, $data; } # if the data is a multiontology or multidropdown, it splits on the "," elsif ($pipeSplit{$table}) { @data = split/\|/, $data; } # otherwise if it is in the list of the pipe split tables it splits on the pipe else { push @data, $data; } # if it is neither of those treats the data as if it is the only entry foreach my $value (@data) { # for each of those multiple values if ($value =~ m/\"/) { $value =~ s/\"/\\\"/g; } # if there is a " it adds a backslash to neutralize it for acedb if ($value =~ m/^\s+/) { $value =~ s/^\s+//g; } # if the data begins with a space get rid of the space if ($value =~ m/\s+$/) { $value =~ s/\s+$//g; } # if the data ends with a space get rid of the space if ($table eq 'lifestage') { if ($ontologyIdToName{$table}{$value}) { $value = $ontologyIdToName{$table}{$value}; } } # convert life stage ids to lifestage names. 2011 05 13 # if it's a life stage and there's an ID to name mapping for these data then it uses the name instead of the ID if ($value) { $entries{$value}++; } # if after all of the above there is a value it adds to a filter of values } } return %entries; # it returns all the data that it got for this table and PGID } # sub getData

sub populateOntIdToName { # reads form obo_name_lifestage to get the mappings from life_stage id to name $result = $dbh->prepare( "SELECT * FROM obo_name_lifestage;" ); $result->execute(); while (my @row = $result->fetchrow) { $ontologyIdToName{'lifestage'}{$row[0]} = $row[1]; } } # sub populateOntIdToName

We have put an error check for dead genes and invalid papers on may 31st 2012:

      elsif ($table eq 'gene') {
        my %entries = &getData($table, $joinkey);
        foreach my $entry (sort keys %entries) {
          if ($deadObjects{gene}{$entry}) { $err_text .= "$name has dead gene $entry $deadObjects{gene}{$entry}\n"; }
            else { $cur_entry{"$tag\t\"$entry\"\n"}++; } } }
      elsif ($table eq 'paper') {
        my %entries = &getData($table, $joinkey);
        foreach my $entry (sort keys %entries) {
          if ($deadObjects{paper}{$entry}) { $err_text .= "$name has dead paper $entry $deadObjects{paper}{$entry}\n"; }
            else { $cur_entry{"$tag\t\"$entry\"\n"}++; } } }

sub populateDeadObjects {

$result = $dbh->prepare( "SELECT * FROM gin_dead;" ); $result->execute();
while (my @row = $result->fetchrow) { $deadObjects{gene}{"WBGene$row[0]"} = $row[1]; }
$result = $dbh->prepare( "SELECT * FROM pap_status WHERE pap_status = 'invalid';" ); $result->execute();
while (my @row = $result->fetchrow) { $deadObjects{paper}{"WBPaper$row[0]"} = $row[1]; }

} # sub populateDeadObjects

Historical Gene tag

Handling Dead Genes During Dump Process

The dumper script will now (as of May, 2013) run an automatic check for dead genes in any gene field. Any genes that are considered dead that are referenced in an Interaction object in the OA will be handled in the following manner:

1) If there is a replacement for the gene (i.e. the gene has merged into another gene), the dead gene will be dumped into a "Historical_gene" field in the .ACE file, the replacement gene will fill the original gene field. A comment will be added to the Historical_gene field via the #Evidence hash. The original gene field (now with the updated gene reference) will be printed with an "Inferred_automatically" tag after the gene. So, for example, if WBGene00001234 is now a dead gene that has been merged into WBGene00002345:

Gene  "WBGene00001234"


Gene  "WBGene00002345"  Inferred_automatically
Historical_gene  "WBGene00001234"  Remark  "Note: This object originally referred to WBGene00001234.
WBGene00001234 is now considered dead and has been merged into WBGene00002345. WBGene00002345 has 
replaced WBGene00001234 accordingly."


Dead -> dead
Suppressed -> suppressed
merged_into WBGene -> merged
split_into -> split
looping through the genes where something happened to make sure they don't also point at something else
merged -> historical_gene + remark AND gene <gene> Inferred_automatically
dead -> historical_gene + remark
suppressed -> historical_gene + remark
split -> historical_gene + remark AND error message
normal ones -> just tag + value


A split gene: WBGene00012507
A merged gene: WBGene0e0007524
A dead gene: WBGene00007814
A suppressed gene: WBGene00015490

Data parsing

File that was used for parsing is the WS226 dump and is located here: /home/postgres/work/pgpopulation/exp_exprpattern/ExprWS226.ace

There are 1802 objects without any Anatomy_term. I'm assuming this is okay -- J Yes, it is --D

What do we do with Marker objects ? Treat them the same as Expr_pattern objects ? -- J yes, treat the same --D

Life_stage in obo class have WBls:####### IDs, but data has lifestage names, is this bad data ? The OA only supports IDs (see phenotype, generegulation, picture OA) : can we convert the life stage names into WBls:#######? I asked Wen about this and she is fine with it --D Changed the parser to convert from name to ID, but still waiting until we talk to Karen

/home/postgres/work/pgpopulation/exp_exprpattern/invalid_ontology_values has many other objects that don't fit the ontologies. It would be best to either fix them in citace and redump, or to get mappings of bad-to-good values and put them in the parser. This was run on the sandbox, so if any values are real, the sandbox might not have all the values. -- J I see, there are many objects with invalid format for different classes. i will figure out what was the problem for each of them and get back to you --D. 20 Anatomy terms having old ids -> Daniela generated mapping with new IDs. 2 invalid objects for GO -> Alerted Ranjana, waiting for answer 5 Antibody objects -> alerted Xiaodong, 2 fixed, 3 waiting for Wen's answer (did she create the objects already or we should generate new ones?). 37 transgenes objects -> alerted Karen

Strain and Clone don't have ontologies yet, once we have those we'll see if any data is bad -- J ok --D

Only looking at WBPictureID pictures, if we need to dump both ways, it will get conversions from the WBPictureID's name. -- J I am not sure I get this..D we talked about it

-D file for Citace Minus

when tried to parse -D file into cite minus the following errors occurred;

  • Pattern: 2 objects Expr98 did not parse in 2 pattern descriptions. Not in OA

I will add them manually in OA and -D those Done DR 06142011

  • Anatomy_term: 14 objects
  • 2 in Expr 120 checked OK only extra space at the end
  • 1 in Expr 1269 checked OK only extra space at the end
  • 1 in Expr 1569 checked OK only extra space at the end
  • 8 in Expr2812 checked OK only extra space at the end
  • 1 in Expr3211 checked OK only extra space at the end
  • 1 in Expr7467 checked OK only extra space at the end

We can delete them from Citace Minus, text is fine in OA. Done DR 06142011

  • Antibody_info: 4 objects

they are already on my list. Xiaodong should generate the objects. Will delete them Done DR 06142011 and add them manually in OA when ready. TODO

  • Reference: 3 objects

Expr_pattern : "Expr2916" Reference "WBPaper00006518"

Expr_pattern : "Expr2994" Reference "WBPaper00013501"

Expr_pattern : "Expr3715" Reference "WBPaper00025175"

Wen looked into it and these are obsolete IDs. We delete them from Citace Minus Done DR 06152011

  • Gene: 30 objects. This happened because the Gene field is an ontology. Some Expr_pattenr objects are associated to multiple genes therefore it did not parse the data in correctly. not only this the problem. Wen is looking into it could be obsolete IDs. Wen checked. Are obdolete we can -D. DR06162011


  • Remark: 1 object Expr111 was not deleted as I added Pseudogene info in the remarks. Deleted from citace minus added into OA OK. Done DR 06142011
  • Pseudogene: 1 object

Expr_pattern : "Expr111" Pseudogene "F56D5.8" can fix this manually and delete it from Citace Minus. Done DR 06142011

  • Cell 26 objects

Expr_pattern : "Expr7477" Cell "P3.p" Certain Cell "P4.p" Certain Cell "P5.p" Certain Cell "P6.p" Certain Cell "P7.p" Certain Cell "P8.p" Certain

done DR 06142011

Expr_pattern : "Expr7595" Cell "CANL" Uncertain Cell "CANR" Uncertain

done DR 06142011

Expr_pattern : "Expr7605" Cell "M4" Certain

done DR 06142011

Expr_pattern : "Expr7632" Cell "AVG" Certain Cell "M5" Certain Cell "PVT" Certain Cell "PVCL" Uncertain Cell "PVCR" Uncertain Cell "PVNL" Uncertain Cell "PVNR" Uncertain Cell "PVQL" Uncertain Cell "PVQR" Uncertain

done DR 06142011

Expr_pattern : "Expr7691" Cell "P3.p" Certain Cell "P4.p" Certain Cell "P5.p" Certain Cell "P6.p" Certain Cell "P7.p" Certain Cell "P8.p" Certain

done DR 06142011

Expr_pattern : "Expr8715" Cell "M.dlpa" Certain Cell "M.drpa" Certain

done DR 06142011

  • Sequence

Expr_pattern : "Expr12" -D Sequence "Z28375" -C "EMBL Z28375" -D Sequence "Z28376" -C "EMBL Z28376" -D Sequence "Z28377" -C "EMBL Z28377"

Expr_pattern : "Expr52" -D Sequence "R11H6" -D Sequence "Y40H4A"

Expr_pattern : "Expr979" -D Sequence "F54E2" -D Sequence "R05D8"

Expr_pattern : "Expr980" -D Sequence "F54E2" -D Sequence "R05D8"

Done Dr 06142011

  • Picture. All picture bjects were -D DR06152011

Exporting Reporter Gene description from Expr_pattern OA to Transgene OA

IMPORTANT: whenever you curate an expr object fill in all the fields before duplicating the object itself. E.g if you need to put expression in the pharynx 'certain' intestine 'uncertain, make sure to generate an object with pharynx 'certain' fill in all the other info, e.g. WBPaper, reporter gene, pattern, ... and THEN duplicate the object. this is important also for the generation of new transgenes with the script below.

In the past transgene objects were generated only when authors did use standard nomenclature (e.g. adEx1256, acIs101). No new transgene objects were created for reporter fusions when there was no standard nomenclature.

From Jan 2012 we want to start generating transgene objects also for those reporter genes.

Action items:

Import all the transgene objects with no standard nomenclature present in Expression pattern OA into Transgene OA

In order to accomplish that we should

  • Generate a name for the objects that have exp_reportergene and no exp_transgene and assign it to the table exp_transgene in Expression pattern OA. The name should be: ExprID_Ex (e.g. Expr1234_Ex)
  • For all the ExprID_Ex that were generated in the previous step we should populate postgres tables in transgene OA as follows:
exp_transgene -> trp_name
exp_paper -> trp_paper 

435 expr objects don't have papers. transfer those objects ? SELECT * FROM exp_reportergene WHERE joinkey NOT IN (SELECT joinkey FROM exp_transgene) AND joinkey NOT IN (SELECT joinkey FROM exp_paper); -- J

I spot checked them. The ones I have seen are coming from Ian Hope large scale expression that he sent few years back to Wen but we need to check systematically if they all come from him. The objects have an Author field associated but the Author is not in OA. When we created the Expr_pattern OA we decided to keep Author, Date, and Curated_by in a separate file in Citace Minus as they were fields not used anymore (see wiki above for reference). For those objects we should put the author in trp_person. If it's hard to retrieve the author from Citace Minus we could get it from the file "ExprWS221.ace" on Tazendra in /home/acedb/draciti dir. D There are 4307 after filtering duplicates -- J

exp_reportergene -> trp_remark
trp_curator -> Daniela Raciti ( WBPerson12028 ). 
trp_nodump (for all Daniela Raciti) 

There is no trp_nodump table using trp_objpap_falsepos (Fail field) -- J Karen said is good. D

Attention: we will take from Expr_pattern OA all objects regardless of the curator -both Wen and Daniela- but when populating transgene OA we will populate the curator field just with Daniela.

Expr objects exists in multiple OA rows, so there are multiple pgids per Expr object, so multiple objects get created in the transgene OA. See Expr1416. Is this correct ? I don't know if Transgene objects already have multiple pgids, and whether the dumper handles it. This is also going to make the deletion script more complicated, do all pgids for a given transgene name have to be dumpable for deletion ? -- J right, we have multiple pgids for a single Expr_object but the exp_reportergene is the same for all. We should have in Transgene OA only one Expr object i.e. Expr1416_Ex pgid 9980 and get rid of the duplicates. D

13 non-"Hope IA" authors are on the sandbox at /home/postgres/work/pgpopulation/transgene/20120127_expr_to_transgene/bad_authors let me know the mapping of those authors to WBPerson#### . After the mapping is done, we'll see how many of the 48 Expr objects have neither person nor paper; e.g. Expr1684 doesn't. -- J


  • Arnold JM = WBPerson16468
  • Bauer PK = WBPerson5125
  • Britton C = WBPerson78
  • Hashmi S = WBPerson4368
  • Herbert R = WBPerson16472
  • Krause MW = WBPerson346
  • Lustigman S = WBPerson390
  • Lynch AS = WBPerson1232
  • McCarroll D = WBPerson16469
  • Mohler WA = WBPerson428
  • Mounsey A = WBPerson1716
  • Royall CM = WBPerson16473
  • Seydoux GC = WBPerson575

After mapping 3 objects had no paper nor person. All 3 are personal communications. J added them -> OK.

  • Expr1684 -> Catherine Wolkow ( WBPerson696 )
  • Expr1685 -> Massimo Hilliard ( WBPerson258 )
  • Expr2781 -> Aharon Solomon ( WBPerson3909 )

The transgene objects will be revised by Karen (in order to delete duplicates if any).

To run the population script do it from a dir where you have write permission e.g. /home/acedb/draciti/Expr_pattern and then give the command

  • ~postgres/work/pgpopulation/transgene/20120127_expr_to_transgene/ > outputlog

Populate script is /home/postgres/work/pgpopulation/transgene/20120127_expr_to_transgene/ -- J get expr objects that have a reportergene but no transgene : SELECT * FROM exp_reportergene WHERE joinkey NOT IN (SELECT joinkey FROM exp_transgene); for each of those get the exp_name and exp_paper Transgene name is ExprName plus _Ex Add to exp_trasnsgene and exp_transgene_hst as multiontology with doublequotes. Get highest transgene pgid, and for each new transgene, create a new transgene with that pgid, trp_name the new transgene name, trp_curator WBPerson12028, trp_objpap_falsepos Fail, trp_remark the exp_reportergene, if there's a paper trp_paper is the exp_paper, if there is no paper look at authors in ExprWS221.ace, and map to persons from Daniela's list into trp_person with doublequotes. If it's not in the list, tell Daniela to get WBPerson mappings. -- J

Author -> Person: Hope IA = WBPerson266

To run the deletion script do it from a dir where you have write permission e.g. /home/acedb/draciti/Expr_pattern and then give the command

  • ~postgres/work/pgpopulation/transgene/20120127_expr_to_transgene/ > output1

Deletion script is /home/postgres/work/pgpopulation/transgene/20120127_expr_to_transgene/ -- J It looks for SELECT * FROM trp_name WHERE trp_name ~ 'Expr.*_Ex' AND joinkey NOT IN (SELECT joinkey FROM trp_objpap_falsepos); transgene names that have not been set as Fail. "SELECT * FROM trp_synonym WHERE trp_synonym ~ 'Expr.*_Ex' AND joinkey NOT IN (SELECT joinkey FROM trp_objpap_falsepos);" It looks at expression transgenes that match Expr.*_Ex : SELECT * FROM exp_transgene WHERE exp_transgene ~ '"Expr.*_Ex"' AND joinkey IN (SELECT joinkey FROM exp_reportergene); It gets invidual transgenes and if any of them don't match Expr.*_Ex it gives an error message. If all of them match, it checks that all transgenes are dumpable. If all are dumpable, it deletes the exp_reportergene for that pgid and inserts a null into the exp_reportergene_hst for that pgid --- J

We added a rule that should check for 'Expr.*_Ex' in the trp_Synonym too because when the transgene already existed Karen added the Expr_name under synonym. we want that the reporter gene field for those objects in Expr_OA will be deleted as well therefore Juancarlos added a rule in the deletion script that will lok for Expr.*_Ex in the synonym and if it finds it will delete repoter gene field from Expr_pattern OA. Line that he added:

"SELECT * FROM trp_synonym WHERE trp_synonym ~ 'Expr.*_Ex' AND joinkey NOT IN (SELECT joinkey FROM trp_objpap_falsepos);"

  • There were >1000 objects that had a standard transgene name (eg adIs1783 and the reporter gene field filled with redundant information, e.g. [mpk-1::gfp]) Daniela went manually through them and deleted the redundant info in the reporter gene field in Expr_pattern OA. The info was already in transgene. Whenever the reporter gene field in Expr_pattern had more info (e.g. sequence) Daniela copied that info into the Transgene Remark field (in line with what we have done for objects above). also, whenever it was specified if transcriptional or translational fusion, that info was added to the reporter type in transgene OA. Double checked with Karen 02.16.2012 -> OK.

Whenever the info in the Reporter Gene field was more pertinent to Expr pattern it was left there. E.g. Expr1046: The larval expression pattern was studied by observing GFP expression in a strain carrying an APR-1::GFP reporter transgene on the integrated array zhIs2.

One example of redundant information was for kxEx74, Expr4687. The info present in the Expr reporter gene field were exactly the same as in the Transgene remark field.

  • February 29th 2012: Daniela run the population script on tazendra after having ested the system on Mangolassi (everything was fine there). Outputlog file with the results of the transfer was copied on Daniela's pc Desktop/Wormbase/Expr_pattern_to_Transgene_transfer
  • Daniela run the deletion script on september 5th 2012. In this way we deleted the reporter gene info in expression OA for all the objects that were transfered to transgene OA with the population script in february. Karen, Juancarlos and Daniela agreed that we had to set all transgene objects as 'dumpable' in order to delete the reporter gene field from expression OA. Daniela edited the transgenes Fail via the Batch mode. The results of the deletion script are on Lario in Desktop/Wormbase/Expr_pattern_to_Transgene_transfer

Moving forward we will use the new pipeline. In the new pipeline the script immediately deletes the reporter gene field in Expression OA.

  • On September 11th 2012 Daniela run the new population script for the first time. the output is on tazendra /home/acedb/draciti/Expr_pattern/Expr_to_Transgene newpopulationscript_09112012. Checked few examples, everything went as it should have
  • NB: there should be still some objects in Expression OA that have the reporter gene field AND the transgene. Those should be double checked. It can be that they will bear duplicated info. This happened for the object that Karen merged or looked at before the new pipeline was set in place.

The population script was run at the end of February 2012, from August on we started using the script that is described in the section below -"Current pipeline"

Even after running the deletion script we will not change anything in the Expression pattern page display. This is because there is already a link to the transgene page so all the information about the construct could be found there.

Addendum: Whenever in the reporter gene field in OA there are listed a transcriptional fusion and a translational fusion, only one name Expr123_Ex will be generated. that reporter gene will be transfered to transgene OA. Karen will add as synonym Expr123_Ex for both the transcriptional and translational fusion. If now we want to populate back Expr_OA with the real name of those transgenes we have to ask juancarlos to look for all objects that have the same Expr123_Ex name AND the same Paper but different transgene names and populate Expr_OA in the transgene field with both transgene names

Current Pipeline

For each Expression pattern object that does have a "Reporter Gene" NOT blank and a transgene field BLANK the following will happen:

  • For the ones that don't have an existing Expr_Ex in these 2 tables trp_publicname and trp_synonym it will:
    • generate an object in the transgene OA called WBTransgene000##### and put it in the trp_name
    • add in the trp_synonym the name Expr1234_Ex (the numbering of the Expr objects is after the expression pattern object name)
    • add WBPerson12028 in the trp_curator -this has to be changed whenever somebody else will take over expression patterns
    • add the reporter gene field text into the trp_remark field
    • add the WBPaper into the trp_paper field
  • Now all the Expression objects have a mapping to the transgene and the script will
    • add into the expr_transgene field the WBTransgene000##### name
    • delete the text in the exp_reportergene field

Differently from the old pipeline every object here will be set as dump.

the script is located here:

~postgres/work/pgpopulation/transgene/20120127_expr_to_transgene/ > outputlog

Daniela runs the script MANUALLY before each upload, the script is normally run from this dir on tazendra /home/acedb/draciti/Transgene_generation

  • the script was run for the first time on September 11th 2012. The output is on tazendra /home/acedb/draciti/Expr_pattern/Expr_to_Transgene newpopulationscript_09112012. Checked few examples, everything went as it should have.

In the script, sub readExprAce there is a subroutine that will get the mappings to Authors from the file /home/acedb/draciti/Expr_pattern/ExprWS221.ace. If the file is not there the script will fail. See above in this section for authors mapping.

sub populateTrpNameToId is getting trp_name (Transgene ID WBTransgene000#####) and map it to trp_publicname and is getting synonyms -trp_synonym- and map it to the trp_name.

For the synonym is splitting on pipes and removing spaces at the beginning and at the end

$trpNameToId{$syn} = $row[0]; this line stores into a hash the mappings of name into ID

merged into

Juancarlos added in transgene OA a "Merged into" box so that Karen will be able to merge transgenes. The transgene object that you merged into the other will be marked as invalid. Say that you are curating transgene2 and you see that is identical to transgene 1, you now click on to "merge into" and select transgene1. Transgene 2 becomes invalid. And Karen will have to add transgene2 into the synonym field of transgene1.

bad strains

to check if there are wrong strains in the OA run this script for a dir where you have permission

/home/postgres/work/pgpopulation/exp_exprpattern/20121011_find_bad_strain/ > bad

Miller paper- tiling arrays

We have added in CitaceMinus a static file with the links to

The paper is Spencer WC, Zeller G, Watson JD, Henz SR, Watkins KL, McWhirter RD, Petersen S, Sreedharan VT, Widmer C, Jo J, Reinke V, Petrella L, Strome S, Von Stetina SE, Katz M, Shaham S, Rätsch G, Miller DM 3rd. A spatial and temporal map of C. elegans gene expression. Genome Res. 2011 Feb;21(2):325-41. Epub 2010 Dec 22. PubMed PMID: 21177967; PubMed Central PMCID: PMC3032935.

The file: miller_cell_type_expression.ace

We have added links to the site from the anatomy page.

Other nematodes SVM analysis for gene expression

From Yuling (Nov 7th 2013) Results here:

Looks like only 1% is deemed positive...

  • 146 positives
  • 15253 negatives

Daniela will go through the list and evaluate

Alternative approach: we can check how many papers have been curated for other species and use those as positive training set. The list of papers is below

Other species

there is a script on tazendra to check the objects curated to non elegans genes (the script looks in to the gin_synonyms tables and check what is not CELE)


the output on May 16th 2014 was

WBGene00001198 not CELE_ in pgid 348
WBGene00001198 not CELE_ in pgid 350
WBGene00001198 not CELE_ in pgid 351
WBGene00001198 not CELE_ in pgid 352
WBGene00002126 not CELE_ in pgid 1424
WBGene00009821 not CELE_ in pgid 1520
WBGene00012263 not CELE_ in pgid 2914
WBGene00043408 not CELE_ in pgid 2914
WBGene00009175 not CELE_ in pgid 2914
WBGene00016878 not CELE_ in pgid 2914
WBGene00020512 not CELE_ in pgid 2914
WBGene00019252 not CELE_ in pgid 2914
WBGene00015732 not CELE_ in pgid 3033
WBGene00003454 not CELE_ in pgid 3330
WBGene00003440 not CELE_ in pgid 3330
WBGene00003441 not CELE_ in pgid 3330
WBGene00003427 not CELE_ in pgid 3330
WBGene00003461 not CELE_ in pgid 3330
WBGene00003459 not CELE_ in pgid 3330
WBGene00003428 not CELE_ in pgid 3330
WBGene00003447 not CELE_ in pgid 3330
WBGene00003455 not CELE_ in pgid 3330
WBGene00003453 not CELE_ in pgid 3330
WBGene00003436 not CELE_ in pgid 3330
WBGene00003439 not CELE_ in pgid 3330
WBGene00023572 not CELE_ in pgid 4733
WBGene00023572 not CELE_ in pgid 4734
WBGene00023575 not CELE_ in pgid 4737
WBGene00023572 not CELE_ in pgid 4739
WBGene00023572 not CELE_ in pgid 4740
WBGene00037006 not CELE_ in pgid 4743
WBGene00037006 not CELE_ in pgid 4744
WBGene00037005 not CELE_ in pgid 4747
WBGene00037005 not CELE_ in pgid 4748
WBGene00030970 not CELE_ in pgid 4750
WBGene00041435 not CELE_ in pgid 4753
WBGene00041435 not CELE_ in pgid 4754
WBGene00015274 not CELE_ in pgid 4829
WBGene00015274 not CELE_ in pgid 4830
WBGene00009175 not CELE_ in pgid 5797
WBGene00009175 not CELE_ in pgid 5798
WBGene00000600 not CELE_ in pgid 5823
WBGene00000604 not CELE_ in pgid 5894
WBGene00000605 not CELE_ in pgid 5910
WBGene00000607 not CELE_ in pgid 5990
WBGene00012263 not CELE_ in pgid 6244
WBGene00004041 not CELE_ in pgid 6776
WBGene00002126 not CELE_ in pgid 7395
WBGene00032753 not CELE_ in pgid 7603
WBGene00018677 not CELE_ in pgid 7886
WBGene00018677 not CELE_ in pgid 7887
WBGene00018677 not CELE_ in pgid 7888
WBGene00018677 not CELE_ in pgid 7889
WBGene00004041 not CELE_ in pgid 8272
WBGene00002485 not CELE_ in pgid 9192
WBGene00117029 not CELE_ in pgid 9327
WBGene00043222 not CELE_ in pgid 10105
WBGene00043320 not CELE_ in pgid 10671
WBGene00043320 not CELE_ in pgid 10672
WBGene00010154 not CELE_ in pgid 10897
WBGene00019581 not CELE_ in pgid 11074
WBGene00020312 not CELE_ in pgid 11399
WBGene00021255 not CELE_ in pgid 11756
WBGene00021255 not CELE_ in pgid 11757
WBGene00045485 not CELE_ in pgid 12323
WBGene00029022 not CELE_ in pgid 13372
WBGene00027230 not CELE_ in pgid 13550
WBGene00025707 not CELE_ in pgid 13949
WBGene00023404 not CELE_ in pgid 14000
WBGene00023404 not CELE_ in pgid 14001
WBGene00033342 not CELE_ in pgid 14026
WBGene00059989 not CELE_ in pgid 14027
WBGene00195119 not CELE_ in pgid 14036
WBGene00101073 not CELE_ in pgid 14036
WBGene00025707 not CELE_ in pgid 14037
WBGene00034222 not CELE_ in pgid 14037
WBGene00224104 not CELE_ in pgid 14038
WBGene00233940 not CELE_ in pgid 14039
WBGene00231085 not CELE_ in pgid 14040
WBGene00042594 not CELE_ in pgid 14109

some of these are dead genes and some came up because they do not have CELE_ in the synonyms (that is how the script identifies non elegans)

the 'clean' list is:

WBGene00023572 not CELE_ in pgid 4733				briggsae	WBPaper00028961
WBGene00023572 not CELE_ in pgid 4734				briggsae        WBPaper00028961
WBGene00023575 not CELE_ in pgid 4737				briggsae        WBPaper00028961
WBGene00023572 not CELE_ in pgid 4739				briggsae        WBPaper00028961
WBGene00023572 not CELE_ in pgid 4740				briggsae        WBPaper00028961
WBGene00037006 not CELE_ in pgid 4743				briggsae        WBPaper00028961
WBGene00037006 not CELE_ in pgid 4744				briggsae        WBPaper00028961
WBGene00037005 not CELE_ in pgid 4747				briggsae        WBPaper00028961
WBGene00037005 not CELE_ in pgid 4748				briggsae        WBPaper00028961
WBGene00030970 not CELE_ in pgid 4750				briggsae        WBPaper00028961
WBGene00041435 not CELE_ in pgid 4753				briggsae        WBPaper00028961
WBGene00041435 not CELE_ in pgid 4754				briggsae	WBPaper00028961
WBGene00032753 not CELE_ in pgid 7603				briggsae	WBPaper00035320
WBGene00117029 not CELE_ in pgid 9327				pacificus	WBPaper00040360
WBGene00029022 not CELE_ in pgid 13372				briggsae	WBPaper00004520
WBGene00027230 not CELE_ in pgid 13550				briggsae	WBPaper00043890
WBGene00025707 not CELE_ in pgid 13949				briggsae	WBPaper00044493
WBGene00033342 not CELE_ in pgid 14026				briggsae	WBPaper00004832
WBGene00059989 not CELE_ in pgid 14027				remanei	        WBPaper00004832
WBGene00195119 not CELE_ in pgid 14036				pacificus	WBPaper00040023
WBGene00101073 not CELE_ in pgid 14036				pacificus	WBPaper00040023
WBGene00025707 not CELE_ in pgid 14037				briggsae	WBPaper00040859
WBGene00034222 not CELE_ in pgid 14037				briggsae	WBPaper00040859
WBGene00224104 not CELE_ in pgid 14038				brugia   	WBPaper00041825
WBGene00233940 not CELE_ in pgid 14039				brugia     	WBPaper00041825
WBGene00231085 not CELE_ in pgid 14040				brugia   	WBPaper00041825
WBGene00042594 not CELE_ in pgid 14109				briggsae	WBPaper00044831
WBGene00054802 in pgid 14251			          	remanei 	WBPaper00041071

the following were validated positive, not yet curated
WBPaper00004561 Haemoncus
WBPaper00004962 Volvulus
WBPaper00005646 Brugia
WBPaper00039907 Ascaris
WBPaper00041323 Brugia 
WBPaper00041714 Stercoralis
WBPaper00041951 Haemoncus
WBPaper00042037 Haemoncus
WBPaper00044651 Ascaris Suum

an additional list that can be checked is the following I got from Wen:

//Special Expr_pattern paper. Usually they contain expression patterns of un-specified genes.
cgc4994		ges-1 expression in C. briggasae
cgc4821		Expression of cpz-1 in O. volvulus
cgc4837		Expression of a Drosophila transposon in C.elegans using glh-2 promoter. 
cgc4895		nud-1 expression in other species.
cgc5831		expression of Od-mpp1 promoter corresponded to that produced by the T03F1.5 or the W09C3.6 promoter in C. elegans.
cgc5943		2-D protein gel dev. stage assay, too ambiguous to curate. 
pmid14504223	antibody 1CB4 staining with unknown antigen
cgc6097		expression in other species.
cgc6393		expression in briggasae.
cgc6588		expression in briggasae.
cgc6591		expression in briggasae
cgc6690		Curated as Gene_regulation.
pmid15826643	expression pattern in other species.
pmid15862576	expression pattern in other species.
pmid15630478	expression pattern in other species. In contrast with FOG-2, a highly conserved GLD-1 ortholog is present in C. briggsae (Table 1) and has a germline expression pattern essentially identical to that of C. elegans (Figure 5A, top right and middle right).
WBPaper00026965	expression pattern in other species.
WBPaper00028902 expression pattern in other species
00025105	expression pattern in other species
00025000	expression pattern in other species
00028902	expression pattern in other species
00032298	expression of lin-11 in three species.
WBPaper00035037 expression pattern of 

the following is a list of validated negatives that can be used for SVM training (randomly selected from

22922012	negative
22922533	negative
22923372	negative
22924021	negative
22930820	negative
22932059	negative
22933846	negative
22935096	negative
22936386	negative
23315190	negative
22947621	negative
22949749	negative
22949753	negative
23307236	negative
22949756	negative
22949757	negative
22951972	negative
22952671	negative
23306387	negative
22952792	negative
22952922	negative
23300895	negative
2295622	        negative
22961235	negative
22961310	negative
22967068	negative
22969260	negative
22973231	negative
22983796	negative
22983799	negative
22983801	negative
22984141	negative
22984446	negative
22984536	negative
22992226	negative
22992297	negative
22992897	negative
23107597	negative
23107821	negative
23110936	negative
23110962	negative
23111012	negative
23111089	negative
23111398	negative
23112818	negative
23291463	negative
23029059	negative
23029330	negative
23029423	negative
23029572	negative
23289015	negative
2310180	        negative

parasitic nematodes papers containing expression data

sent to Jane Lomax on September 9 2015

O volvulus

H contortus

A Caninum

A suum

S stercoralis

2A viral technology

Proof of principle described in

  • Simultaneous expression of multiple proteins under a single promoter in C. elegans via a versatile 2A-based toolkit

Arnaud Ahier & Sophie Jarriault, Genetics

'We report the use of viral 2A peptides, which trigger a “ribosomal-skip” or “STOP&GO” mechanism during translation, to express multiple proteins from a single vector in C. elegans. Although none of the viruses known to infect C. elegans contain 2A-like sequences, our results show that 2A peptides allow the production of separate functional proteins in all cell types and at all developmental stages tested in the worm. In addition, we constructed a toolkit including a 2A- based polycistronic plasmid and reagents to generate 2A-tagged fosmids. 2A peptides constitute an important tool to ensure the delivery of multiple polypeptides in specific cells enabling several novel applications, such as the reconstitution of multi-subunit complexes.'

Will keep an eye if it will be used more extensively and eventually change the model

SVM analysis for gene expression

051812_042012. The retraining for this batch was done by incorporating the curated results from 2009 till 2012.

old                        re-train      
14/37 = 37.8%              17/26  = 65.3% 


From this batch on we have started to manually manipulate the features by adding some and deleting others. The files are stored on Lario/Desktop/SVM

06/08-05/18 2012.

old                 re-train      feature_manipulation
29.30%              44.40%         55.00%
28.90%              55%            

September 21 2012

old                 re-train           feature_manipulation        section_model
54/98=55%           41/56=73.2%        54/79=68.3%                 34/47 = 72.3% (159 out of 459 papers have results)

November 02 2012

old                 re-train           feature_manipulation       
9/13=69%            16/22=72.7%        28/46=60.8%

June 14 2013

old                 re-train          section_model      
6/10 = 60%          6/6 = 100%        5/5 = 100%

In July 2014 Yuling retrained SVM with the latest results. He got the results from the curation status from:

validated positive  checkbox_cfp=on&checkbox_afp=on&checkbox_svm=on
validated negative

also, Yuling is trying to see what was the difference between SVM and feature manipulation on this paper range 44200 till 44700 roughly between october 2013 and january 2014

in the list we will take into account the curation negative SVM positive which are listed here: SELECT * FROM cur_curdata WHERE cur_selcomment ~ '1';

the results of the analisys are as follows (oct2013-jan2014)

testing papers 	total 176	69 positive	107 negatives								

		   true positive   false positive      precision		recall		F score	"=2*(precision*recall)/(precision+recall)"
feature manipulation		47	15		75.80%		47/69	68.10%		0.717439889	
current SVM model		32	7		82%		32/69	46.30%		0.591831645	
new testing SVM model		42	18		70%		42/69	60.80%		0.650764526	

Jan2014-Dec2014 -using feature manipulation models

testing papers 	total flagged 226	172 positive	54 negatives	precision 76.1%


go to Micropublications

User data submission

the submission form is here:

and it appends data here


  • 9260 Expression objects in WS180 ( 7176 + 2084 Chronograms)
  • 12110 Expression objects in WS233 (10026 + 2084 Chronograms)
  • 13380 Expression objects in WS243 (11296 + 2084 Chronograms)
  • 14273 Expression objects in WS243 (12189 + 2084 Chronograms)

Transgenic Alleles from Constructs

The initial population of cns tables for expression constructs

Over 4000 Construct objects that did not have a 'standard nomenclature' name as transgenes -e.g. hkdEx1202 for extrachromosomal arrays- were imported into Construct OA.

In order to atomize curation details into different fields -from the construction summary description- Juancarlos wrote a script

the script is located here:


More information/files on Lario in the folder Construct/Clone stuff

Alignment of Construct Data for Alliance February 2021

  • WB Expression curation associates Expr_patterns to both construct and transgenic alleles. To simplify expression schema changes for Alliance we will give transgene IDs to all constructs used in Expression Pattern. The Alliance schema will therefore have a transgenic allele tag, which will be populated with trangene data coming from WB expression curation.
    • As of 02.10.2021: There are 14053 pgids associated with constructs. Files are located on tazendra : /home/postgres/work/pgpopulation/exp_exprpattern/20210210_construct_transgene

    • the file is_in contains 6947 pgids: these are constructs in expression OA that have a matching transgene in the Expression OA transgene field. For these objects Juancarlos will delete the construct from Expr OA as is redundant with the transgene.
    • the file is_not contains 55 pgids: these are objects for which there’s a construct that has a corresponding transgene in transgene OA but the transgene is not in the transgene field for that expression object. Daniela will go through the list. If the trangene happens to be identical to the construct she will put that transgene in expression OA and she will delete the construct in Expression OA. --Daniela done Feb 11 2021
  • script1* /home/postgres/work/pgpopulation/exp_exprpattern/20210210_construct_transgene/

This script finds Constructs that have a transgene, removes the construct from exp_cns field and adds the corresponding transgene in the Exp_trp field

    • the file does _not contains 7051 pgids: for these we will need to create new transgenes. See following paragraph:

Populating exp_transgene based on exp_construct

For back population of trp tables with existing constructs in the expression tables for which there is no associated transgene:

  • find all exp_constructs that are not associated with a trp_construct
  • create transgene IDs for each exp_construct following the data porting as laid out below
    • Postgres creates a transgene pgid, and populates trp tables as follows
      • cns_summary copied to trp_summary
      • cns_name copied to trp_construct
      • cns_paper copied to trp_paper
      • cns_curator -default to Daniela
      • trp_name copied to exp_transgene

NOTE: There were 1849 transgenes and 2259 constructs with no paper info, 447 constructs and 159 transgenes were used in expression. We have now populated the paper field in construct and transgene for this objects via the Expression pattern connection: /home/postgres/work/pgpopulation/exp_exprpattern/20210331_cns_trp_exp_paper cns_no_paper_with_expr 447 constructs -> 405 have paper, spot checked the ones that have no paper and they had a Person association trp_no_paper_with_expr 159 transgenes -> 125 have paper, spot checked the ones that have no paper and they had a Person association The script to populate the paper info from expression objects is here: /home/postgres/work/pgpopulation/exp_exprpattern/20210331_cns_trp_exp_paper/*

After data clean up will need to suppress data [delete construct] in the exp_construct

All these changes were discussed and agreed upon on Feb 02.10.2021 in a meeting (attendees: Daniela, Juancarlos, Chris, Karen).

Script2 /home/postgres/work/pgpopulation/exp_exprpattern/20210316_construct_to_transgene/

Construct/Transgene curation moving forward

  • When authors are not using standard nomenclature for a transgene, the Expression curator will:
    • go to construct OA and create a new construct
    • Take that construct ID and put it in the construct field in expression OA
    • A cronjob (concatenates script 2 and script 1 above) will run overnight and will
      • look for all constructs listed in Expression OA,
      • create a transgene object for such construct
      • Populate the trp_fields as above copying data over from the construct object.
      • Add the transgeneID just created in the transgene field of Expression OA for which the construct was made
      • Delete the construct from the construct field

Cronjob: # 0 4 * * * /home/postgres/work/pgpopulation/exp_exprpattern/cronjobs/transfer_exp_cns_trp/

new allele request

go to the name server and log in:

check if the new variation already exists by clicking on find variation.

If it does: generate an ID in the OA: putting in the public name and the ID

if it doesn't: on the name server click on 'request a new variation ID' put in the public name and the paper -with additional info

then go to the OA as above and generate an ID

bulk OA uploads

Chris' master table- leave as is

Copy table in my drive

Expression pattern remodel

Expression pattern remodel

OA and GO CC curation comparison


Daniela and Kimberly are comparing CC annotations between the OA and GO pipelines. The document for tracking is here:


  • no OA but GO_CC
    • import in OA exp with IDA as evidence code
    • Markers for GO: keep just the first reference and get rid of the ones that are confirmatory.
  • no GO but OA annotation
    • create a gpad file ask Tony Sawford to upload in protein to go database
    • the gpad should contain annotation extensions to tissues
  • Secreted proteins:
    • clean up the secreted proteins annotations

Importing GO_CC annotations in the Paper term info

We can parse a .ace file that Kimberly generates for every build located here (Tazendra)


and called gp_annotation.ace

We want to consider only objects that have Annotation_relation "part_of" or "colocalizes_with" and Reference "WBPaper000nnnn"

Once I will enter the WBPaperID in OA, I would like to see in the term info:

  • 1) Gene: Display locus
  • 2) 'part_of' or 'colocalizes_with'
  • 3) GO Term: Display ‘name’ For example for id : GO:0005634 display nucleus
  • 4) GO_code: e.g.’IDA'
  • 5) Extension: get values from GO_term_relation and Display them. Example:
    • part_of(Anatomy name)

For example, if you have: part_of(WBbt:0004821)|part_of(WBbt:0006786)|part_of(WBbt:0006787) Display: part_of(DVC)|part_of(ut2)|part_of(ut3)

    • exists_during(anaphase)
  • 6) get values from Life_stage_relation and display them
    • Life_stage_relation

Life_stage_relation "exists_during" "embryo"

  • 7) get the values from Anatomy_relation and display them
  • 8) contributed_by: whenever is NOT WormBase import the value

For point #8 we could store the info in Curated_by in the expression pattern model. If so create a field in Expression OA-tab 4- Curated_by, free small-text. (for now we are not dumping it, we want to check how often is used, will dump in the future if need be)

Name of the table: tin_paper_legocc

the links to protein to GO are: File:gp_association.6239_wormbase.gz

the gp_association.6239_wormbase.gz File is the source file for Juancarlos' script here: /home/acedb/kimberly/citace_upload/go/gpad2ace/2017_January

the gp_association.6239_wormbase.gz gets updated weekly, every Monday morning UK time, so we can up a cronjob for Tuesday morning 8:00 am California time.


I would want to have
*Gene1, part of GO_Termx, GO_codex, Extensionsx
  GO_Termy, GO_codey, Extensionsy
*Gene2, part of GO_Termz, GO_codez, Extensionsz

All relevant files are on tazendra here: /home/acedb/draciti/lego_cc_annotations

we are using the gp2protein file in that folder, Kimberly has plans to chenge the format into gpi (will modify the source accordingly when ready).

We have a cronjob running every tuesday morning (8:00 am Pasadena time) that will get data from the latest version of the gp_association.6239_wormbase.gz and will populate the tables on postgres.

0 8 * * tue /home/acedb/draciti/lego_cc_annotations/

When Kimberly changes the gp2protein file into a gpi file we need to change the update the script

Comparison CGI

Go to Comparison CGI

AGR data transfer

Annotations with Uncertain tag have not been included in the initial upload.

UBERON to WBbt anatomy mappings for Alliance

The csv file with the mappings is in this excel spreadsheet