Difference between revisions of "Gene Ontology"
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==Software Development: Tools and Scripts==
==Software Development: Tools and Scripts==
====[[Reference Genome Reports - Annotation Coverage]]====
====[[Reference Genome Reports - Annotation Coverage]]====
====[[Ontology Annotator - The GO annotation interface]]====
====[[Ontology Annotator - The GO annotation interface]]====
Revision as of 17:46, 15 March 2019
- 1 File Uploads
- 2 Manual Literature Curation
- 3 Semi-Automated Methods of Curation
- 3.1 Textpresso-Based Curation
- 3.1.1 GO Cellular Component Curation - MOD-Specific Pages
- 3.1.2 General specifications
- 3.1.3 GO Cellular Component Curation - General Issues
- 3.1.4 Specifications for CCC Curation from Textpresso Search Page
- 3.1.5 CCC Form 2.0 Specifications
- 3.1.6 mf_hmm tool
- 3.1.7 in vitro flagging
- 3.2 Old Phenotype2GO pipeline (Sanger and Caltech)
- 3.1 Textpresso-Based Curation
- 4 Software Development: Tools and Scripts
- 5 Taxon Constraints
- 6 WormBase contributions to Gene Ontology content
- 7 Annotation Practices
- 8 Plans/Projects in progress
- 9 Papers that use C. elegans GO Annotations
- 10 GO Uploads
- 11 Problems with GO data in WormBase (as of June 2013)
- 12 Jenkins Validation Checks
- 13 Infectious Agents Used in C. elegans Papers
UniProtKB gpad file to .ace file
This page documents how to go from the UniProtKB gpad file produced weekly to the WormBase .ace file for upload: UniProtKB gpad to WormBase .ace
Phenotype2GO uploads to postgres
This page documents how to add new Phenotype2GO-based annotations to postgres: Adding new Phenotype2GO annotations to postgres
Manual Literature Curation
Gastruation and Morphogenesis Modeling PMID:26412237
Reference Genome (see also Reference Genome Inferential Annotations)
This summarizes the annotations that may need to be revised due to changes in the GO's representation of transcription.
7 Molecular Function terms will be obsoleted. They are listed below with the number of manual elegans annotations associated:
- GO:0003704 specific RNA polymerase II transcription factor activity - 8 (all Kimberly)
ceh-24 - ISS - changed to GO:0000981 sequence-specific DNA binding RNA polymerase II transcription factor activity ceh-27 - ISS - same as above ceh-28 - ISS - same as above elt-1 - IDA - same as above elt-3 - IMP - for WBPaper00004593, removed MF term (no longer comfortable with IMP MF terms from this type of experiment); also made corresponding BP term less granular, from positive regulation to just gene-specific transcription from pol II promoter elt-3 - IMP - same as for elt-3 above hlh-3 - IMP - for WBPaper00031977, removed MF term for same reason as above, also made BP term less granular as above zip-2 - IMP - for WBPaper00035891, same as above for elt-3 and hlh-3
Migration to UniProtKB Protein2GO Curation Tool
- UniProt-GOA syntax checking
- File Specifications for Downloading Manual Annotations for Protein2GO
- Scripts for file dumping and conversion
- GPAD to .ace file
- GPAD to .go file
- What's staying in postgres?
Semi-Automated Methods of Curation
GO Cellular Component Curation - MOD-Specific Pages
TAIR (this is the older page no longer used)
GO Cellular Component Curation - General Issues
- MFC - GO Molecular Function Curation using Textpresso
Old Phenotype2GO pipeline (Sanger and Caltech)
- The old Sanger script that generates the gene_association file (from Igor's work in January 2009) was changed. Instead of an exclusion list and 'include list' that comprises papers (mostly large scale genome-wide studies) is provided to the script. This list is curator approved and explicitly agreed upon for the propagation of GO terms to genes based on their RNAi phenotypes.
- A new script is used, to use it invoke the script with the -includelist option, e.g.: Run parse_go_terms_new.pl -o gene_association.wb -rnai -include includelist.txt (this example only parses RNAi experiments, to generate full file, you should also give '-gene -var' options as before).
- If you invoke it with '-acefile <filename>' option, the script will also generate Gene-GO_term connections derived from phenotypes. This is currently done by the phenotype procedure of the inherit_GO_terms.pl script.
- The old script: inherit_GO_terms.pl does not consult any exclusion/inclusion files. To alter Sanger's version of parse_go_terms_new.pl, a patch file was provided.
- Current status:From Igor's e-mail, March 2009: I don't think the phenotype option of the inherit_go_terms script has been disabled. The script should be run without the '-variation' option, but the gene_association file still has those. Try this:
grep -i wbpheno gene_association.WS200.wb.ce |grep -v RNAi This is now resolved.
- Phenotype2GO Mappings File
- Phenotype2GO Mappings Sept. 09
- Phenotype2GO Paper Inclusion List
- Phenotype2GO Analysis
- 20141009 - Phenotype2GO Mappings Updates
- 20141022 - Phenotype2GO Pipeline
InterPro2GO Mappings for IEA Annotations
Reference Genome Inferential Annotations
Software Development: Tools and Scripts
From Chris Mungall, 8/19/2011:
The taxon checks are run weekly, and the reports deposited here:
Note that this service will be subsumed into a more comprehensive annotation QC service (apologies if you weren't at the USC meeting, where this was demoed). This is, in general, the plan for many of the ad-hoc scripts and cron reports we perform now. I will send an email to the GOC list next week describing the roll-out process for this.
For the QC checks, the idea is to push the checking as far upstream as possible. A weekly report is too reactive. This could be done at the time of submission. Even better, the annotation tool could use the central web service at the time of annotation.
WormBase contributions to Gene Ontology content
- L-lysine transport
- L-arginine transport
- L-histidine transport
- early endosome to recycling endosome transport
- corrected definition of recycling endosome
- nematode larval development, heterochronic
- regulation of nematode larval development, heterochronic
- transforming growth factor receptor signaling pathway involved in multicellular organism growth
- insulin receptor signaling pathway involved in determination of adult lifespan
- positive, negative regulation of oviposition
- pairing center
- muscle projection, muscle projection membrane (narrow synonyms: myopodia, muscle arm)
- regulation of synaptic plasticity by receptor localization to synapse
- regulation of basement membrane organization
- regulation of RNA interference
- regulation, positive, negative of oocyte maturation
- incorrect InterPro2GO mapping for IPR003131
- double-stranded DNA-dependent ATPase activity
- new representation of tail tip morphogenesis
- synonym for nuclear inner membrane
- change definition of apical junction complex
- regulation, positive, negative of serine-type endopeptidase activity
- regulation, positive, negative of neuromuscular synaptic transmission
- protein binding - SUMO conjugating enzyme
- regulation of neuron migration
- basement membrane assembly involved in embryonic body morphogenesis
- parentage of dauer larval development - also include dormancy process
- regulation of ATP biosynthetic process
- regulation, positive, negative of dipeptide transport
- regulation of phospholipid transport
- regulation, positive, negative of endocytic recyling
- suggested change to InterPro2GO mapping for GoLoco motif
- GABAergic neuron differentiation
- pre-mRNA binding
- nitric oxide sensory activity
- age-dependent behavioral decline
- regulation, positive, negative of anterograde axon cargo transport and retrograde axon cargo transport
- germ cell proliferation
- in progress - centrosome maturation - when, what, how
- defecation motor program
- modifications to terms and definitions of cilium assembly and sensory cilium assembly
- ciliary transition zone
- regulation and pos/neg regulation of microtubule motor activity
- nickel ion homeostasis and cellular nickel ion homeostasis
- neurotransmitter receptor catabolic process
- regulation of defecation, positive and negative children (2010)
- mitochondrial prohibitin complex (2010)
- cilium terms (2010, updates/revisions to terms added in 2005)
- octapamine/tyramine signaling involved in the response to food (and the regulation terms) (2010)
- alpha-tubulin acetylation (2010)
- phagosome maturation involved in apoptotic cell clearance (2010)
- phagosome acidification involved in apoptotic cell clearance(2010)
- phagolysosome assembly involved in apoptotic cell clearance (2010)
- phagosome-lysosome docking involved in apoptotic cell clearance (2010
- phagosome-lysosome fusion involved in apoptotic cell clearance (2010)
- neuropeptide receptor binding (2010)
- striated muscle contraction involved in embryonic body morphogenesis (2010)
- striated muscle myosin thick filament assembly (2010)
- striated muscle paramyosin thick filament assembly (2010)
- determination of left/right asymmetry in the nervous system (2010)
- regulation of locomotion (including positive and negative regulation child terms) involved in locomotory behavior (2010)
- detoxification of arsenic (2010)
- chondroitin sulfate proteoglycan binding (2010)
- chondroitin sulfate binding (2010)
- regulation (includes positive and negative regulation child terms) of nematode larval development (2010)
- regulation of (includes positive and negative regulation terms) dauer larval development (2010)
- response to drug withdrawel (2009)
- phosphatidylserine exposure on apoptotic cell surface (2009)
- regulation of synaptic vesicle priming (2008)
- chloride-activated potassium channel activity (2008)
- transdifferentiation (2008)
- Regulation of ovulation terms (2008)
- Process terms for gap junction proteins (2008)
- piRNA and 21U-RNA terms (2008)
- dense body (sensu Nematoda) cellular component term (2007)
- GO:0000775, GO:0000779, GO:0000780
- D/V and A/P axon guidance terms (2007)
- palmitoyl-CoA 9-desaturase activity (2007)
- response to hyperoxia (2007)
- Cuticle component terms (2007)
- response to anoxia (2007)
- dynein light intermediate chain binding (2006)
- Regulation terms for cell and nuclear division (2006)
- Several child terms for apoptosis (2006)
- Cilium terms (2005)
- Intraflagellar transport particle-component terms (2004)
- oogenesis (non-species specific term)(2004)
Modifications to the Ontology
- Revised definition for muscle homeostasis (2010)
- Added dense core vesicle synonym to dense core granule (2010)
- Updated definition and moved parentage for intraflagellar transport (2009)
- Added lethargus as synonym for sleep (2008)
- Change to the definitions of the component terms: GO:0000775, GO:0000779, GO:0000780 which refer to the centromeres or chromosome, pericentric region (2007)
- Change to parent of tail tip morphogenesis (sensu Nematoda) (2006)
- GO:0046536, dosage compensation complex definition (2006)
Cellular Component Annotations
If a protein contains a transmembrane domain, but expression experiments are not at sufficient resolution to show membrane localization, what annotation should we make?
WormBase use of Column 16
Column 16 refers to a column in the Gene Ontology's (GO) tab-delimited gene association file (gaf) that WormBase submits to the GO consortium on a regular basis.
Column 16 has been referred to as the Annotation Extension column in that it provides a placeholder for curation details that cannot be captured by a GO term alone, for example the substrate upon which an enzyme acts.
A number of different types of information could conceivably be entered into Column 16. The list below begins to document the potential use of Column 16 by WormBase curators with any additional information or questions that have arisen during the course of curation.
In the GAF, there will be an explicit relationship between the entity in Column 16 and the GO term. The annotation extension relations are viewable here:
Column 16 curation at WormBase is just beginning and will likely be fleshed out more fully over the next few months.
In the Ontology Annotator, Column 16 data is being entered into the 'Xref to' field in the following format: Column 16: Xref ID
Biological Process Examples:
Example 1: sup-26 is annotated to GO:0017148, negative regulation of translation. The entry in Column 16 is the target of that regulation, tra-2.
In OA entry: Column 16: WB:WBGene00006605
def: "Identifies a gene or gene product affected by a regulation BP or regulator MF." [GOC:mah]
comment: probably want to add one or two new subtypes that capture something about directness
domain: GO:0065007 ! biological regulation
range: TEMP:0000003 ! gene or gene product
Example: sup-12 mutations affect splicing of unc-60 transcripts.
Example 1: lys-7 is required for defense response to Cryptococcus neoformans
In OA entry: Column 16: NCBI:192011 (a taxon ID)
Response to Terms
Example 1: daf-2 is shown to be involved in response to oxidative stress by treating animals with paraquat. WBPaper00005488
In OA entry: annotate to 'response to oxidative stress' using CHEBI:34905
Cell Fate Specification
Example 1: egl-38 is found to be required for cell fate specification in the male tail. WBPaper00002924
Could add a number of Anatomy Terms to Column 16 (not done yet).
Regulation of Protein Localization
Example 1: hmp-1 and jac-1;hmp-1 double mutants are shown to affect the distribution of HMR-1. WBPaper00005972
Added WBGene ID of HMR-1 to Column 16.
Molecular Function Examples:
Nucleic Acid Binding
Example 1: sup-26 is annotated to GO:0003730, mRNA 3'-UTR binding. The entry in Column 16 is the target of that binding, tra-2.
In OA entry: Column 16: WB:WBGene00006605
Cellular Component Examples:
So far, there are three types of extensions added to Cellular Component annotations:
- part_of(Anatomy_term) http://wiki.geneontology.org/index.php/Annotation_Extension_Relation:part_of
- exists_during(Lifestage) http://wiki.geneontology.org/index.php/Annotation_Extension_Relation:exists_during
- exists_during(GO Biological Process) http://wiki.geneontology.org/index.php/Annotation_Extension_Relation:exists_during
Plans/Projects in progress
- The GO annotation model is becomingly increasingly complex, capturing more annotation detail.
- The proposed model below would create a ?GO_annotation class that includes tags for the following GO fields:
- GO_code: the evidence code used for making the GO inference
- Gene_rel: captures the explicit relation between a GO term and the gene product annotated, including 'NOT' relations
- Annotation_made_with: entities captured in the GAF With/From column for populating identifiers used with certain GO codes such as IPI (Inferred from Physical Interaction), IGI (Inferred from Genetic Interaction), IC (Inferred from Curator), etc.
- Annotation _extension: for capturing annotation context using additional ontologies or entities. Entries in the annotation extension column could be used to help construct the LEGO models of pathways and processes (see http://wiki.geneontology.org/index.php/LEGO_Model_Draft_Specification).
- Annotation_isoform: used in cases where an experiment describes the activity of a specific protein isoform; currently this information is captured with a UniProtKB accession; we would like to convert these to WB WP IDs. See tra-1 annotations for an example.
- Interacting_strain and Interacting_species: for capturing the strain or species when dual-taxon GO annotations are made, for example, to annotate gene products involved in host-pathogen interactions.
- Reference: if a published paper is used as evidence.
- GO_reference: to capture GO_REF IDs for annotations that do not cite a published paper, but rather a documented GO curation practice (used for ND annotations, for example see GO References
- Contributed_by: Uses ?Analysis objects to incorporate GO annotations from other annotation groups such as the PAINT curation efforts, UniProt, IntAct, etc. with proper attribution for the annotation source.
Proposed new ?GO_annotation class for WS247
?GO_annotation Gene ?Gene XREF GO_annotation GO_term ?GO_term XREF GO_annotation GO_code ?GO_code Annotation_relation NOT colocalizes_with contributes_to enables involved_in part_of Annotation_made_with Interacting_gene ?Gene //for IGI and IPI annotations Inferred_from_GO_term ?GO_term Motif ?Motif RNAi_result ?RNAi Variation ?Variation Phenotype ?Phenotype Database ?Database ?Database_field ?Text //for ISS, IEA, IGI, and PAINT annotations Annotation_extension Life_stage_relation ?Text UNIQUE ?Life_stage Gene_relation ?Text UNIQUE ?Gene Molecule_relation ?Text UNIQUE ?Molecule Anatomy_relation ?Text UNIQUE ?Anatomy_term GO_term_relation ?Text UNIQUE ?GO_term Annotation_isoform ?Text ?Protein //captures information when annotation subject is an isoform Interacting_species ?Species ?Strain //dual-taxon annotations; always populate species; strain when possible Reference ?Paper XREF GO_annotation GO_reference ?Database ?Database_field ?Text //for GO's internal reference IDs, e.g., GO_REF:0000014 Contributed_by ?Analysis //to properly credit annotations from other sources Date_last_updated UNIQUE DateType
1) Use Evidence Code Ontology and Relation Ontology. There is a proposed model for that below, but I need to go over that model again to double-check everything. ?Evidence_code Model
Since we are now sharing a GO curation tool with UniProt, in the annotation file we get back from them, we will have isoforms listed as Q9N5D6-2 and would like to be able to map them back to a specific WP: identifier.
Evidence Code Ontology Model
Proposal for a new ?Evidence_code object:
?Evidence_code Name ?Text Status UNIQUE Valid Obsolete Namespace ?Text Alternate_id ?Text Definition ?Text Comment Text Synonym ?Text Scope_modifier UNIQUE Broad Exact Narrow Related DB_info Database ?Database ?Database_field ?Accession_number Text ##PSI-MI, GO_REF, GOECO Relationships is_a ?Evidence_code //Except for the root terms, all terms should have this Intersection_of ?GO_term ?Text //This will be a relation ontology term and external ontology term. Eventually articulate? Created_by Text Creation_date Text Version UNIQUE Text
Comments on ?Evidence_code Model
?Evidence_code model - are you guys thinking of consolidation ?GO_code and ?AO_code into this class
That way you can still use the GO_code ?Evidence_code which is what I think you were proposing? ?GO_code is used in lots of classes, so it wouldn't be good just to drop it/update it in one place and not all the rest....retiring the 2 models mentioned.
Kimberly:Yes, I think it'd be good to consolidate ?GO_code and ?AO_code if Raymond is okay with that and the Evidence Code Ontology includes everything that Raymond has used in the ?AO_code. Also, yes we would then replace ?GO_code with ?Evidence_code in each of the respective models. This might also be a good time to review what objects have ?GO_term and ?GO_code tags to see if we still need those tags associated with those objects.
?GO_term model (implemented 2013-06)
?GO_term Name ?Text Definition ?Text Term ?Text Synonym Broad ?Text Exact ?Text Narrow ?Text Related ?Text Status UNIQUE Valid Obsolete Type UNIQUE Biological_process Cellular_component Molecular_function Child Instance ?GO_term XREF Instance_of Component ?GO_term XREF Component_of Parent Instance_of ?GO_term XREF Instance Component_of ?GO_term XREF Component Attribute_of Cell ?Cell XREF GO_term Motif ?Motif XREF GO_term //Needed for InterPro2GO mapping. Gene ?Gene XREF GO_term //Annotated entity for manual annotations. CDS ?CDS XREF GO_term //Annotated entity for InterPro2GO and Phenotype2GO mappings. Sequence ?Sequence XREF GO_term //Still needed? Transcript ?Transcript XREF GO_term //Still needed? Phenotype ?Phenotype XREF GO_term Anatomy_term ?Anatomy_term XREF GO_term Homology_group ?Homology_group XREF GO_term //Still needed? Expr_pattern ?Expr_pattern XREF GO_term Picture ?Picture XREF Cellular_component Index Ancestor ?GO_term Descendent ?GO_term Version UNIQUE Text //SVN revision number
Expanded IEP Evidence Code
What kinds of experiments are used to inform selection of the IEP evidence code?
- WBPaper00006024|PMID:12869585 - Figure 2E and 2F illustrate promoter reporter fusions showing increased expression under different stress conditions. This type of experiment assays promoter activity.
- Possible evidence code: ECO:0000296 green fluorescent protein transcript localization evidence
- Possible new evidence code: ECO:new green fluorescent protein transcript localization evidence used in manual assertion
- WBPaper00006024|PMID:12869585 - Figure 5F and 5G illustrate a translational fusion showing increased expression under different stress conditions. The time frame of the response suggests that this is a posttranscriptional event, possibly the protein moving from the cytoplasm to the nucleus.
- Possible evidence code: ECO:0000300 green fluorescent protein immunolocalization evidence
- Possible new evidence code: ECO:new green fluorescent protein immunolocalization evidence used in manual assertion
- WBPaper00026814|PMID:16166371 - Figure 1A. Experiment measures an increase in the modified (i.e., phosphorylated) form of PMK-1 in response to treatment with several different oxidative stresses, e.g., sodium aresenite, paraquat (superoxide), and t-butyl peroxide (hydrogen peroxide).
- Possible evidence code: ECO:0000279 Western blot evidence used in manual assertion
- Possible new evidence code: ECO:new Western blot evidence of protein modification used in manual assertion (submitted SourceForge item, 2013-06-04)
Platinum Gene Lists
Papers that use C. elegans GO Annotations
- The resulting fold-changes and p-values were then used for GOMiner  and Cytoscape [37,38] analyses.
- Detailed descriptions of GOMiner and Cytoscape analyses are accessible as Supplemental methods.
- Detailed GOMiner and Cytoscape (jActiveModules and BiNGO) analyses of strain-to-strain differences under both UV and control conditions can be found in Supplemental data files 2–5 (GOMiner) and 6–7 (BiNGO).
- Differentially expressed transcripts (defined as absolute fold change value > 1.3, a log ratio p-value < 0.05 by Rosetta Resolver, and a log(10) intensity measurement > −0.4) along with fold-change, p-values and GO annotation are listed for each strain and year in Supplemental data file 8.
- 3.9. Gene ontology (GO) biological processes altered 3 h post-UVC exposure
- Since our list of UVC-regulated genes based on a minimal 1.3-fold change was relatively short (Table 1), we also carried out a jActiveModules network analysis. This algorithm can identify subnetworks highly enriched in regulated genes even if the fold-changes are not large, since it is based only on p-values .
- 36. Zeeberg BR, Feng W, Wang G, Wang MD, Fojo AT, Sunshine M, Narasimhan S, Kane DW, Reinhold WC, Lababidi S, Bussey KJ, Riss J, Barrett JC, Weinstein JN. GoMiner: a resource for biological interpretation of genomic and proteomic data. Genome Biol. 2003;4:R28. [PMC free article] [PubMed]
- 37. Ideker T, Ozier O, Schwikowski B, Siegel AF. Discovering regulatory and signalling circuits in molecular interaction networks. Bioinformatics. 2002;18 Suppl 1:S233–S240. [PubMed]
- WBPaper00040880 - The 662 genes associated with the modification of 128Q-neuron dysfunction appeared to encompass a variety of biological processes (cell death, protein folding, intracellular transport, metabolic processes, response to stress, stress-activated pathways) that may have a role in neurodegenerative disease pathogenesis as suggested by their functional classification using GO annotations (Figure 3, Additional file 7: Tables S6; Additional file 8: Table S7).
- GO enrichment tests were performed using Ontologizer v2.0.
- Bauer S, Grossmann S, Vingron M, Robinson PN : Ontologizer 2.0--a multifunctional tool for GO term enrichment analysis and data exploration.
- In this respect, the network-boosted data analysis of our RNAi dataset was more instructive compared to the sole use of GO annotations or gene set enrichment analysis.
- WBPaper00040896 - Supplementary Table 2
- Enriched GO groups were defined using the Generanker tool in the Genomatix Genome Analyzer software (http://www.genomatix.de/en/produkte/genomatix-genome-analyzer.html).
- To identify pathways and molecular functions common to the genes observed by microarray analysis, we employed the gene ontology (GO) enrichment analysis using GOrilla . As expected due to NHR-49’s known role in lipid biology, there was a significant overrepresentation of GO-terms for functions related to fat metabolism (Figure 2 and Table 2). We also found that pathways regulating protein processing, maturation and proteolysis were overrepresented.
- Figure 2. Functional classification summary for the nhr-49 mutant are represented as a scatter plot using the GO visualization tool REViGO.
- Gene ontology (GO) enrichment analysis was performed using GOrilla . Each list from the limma analysis was ranked from smallest to largest p-value and analyzed for enriched biological process ontology terms found near the top of the list. Functional classification summary for the nhr-49 mutant were presented as a scatter plot using the GO visualization tool REViGO .
- Eden E, Navon R, Steinfeld I, Lipson D, Yakhini Z (2009) GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists. BMC Bioinformatics 10: 48.
- Supek F, Boˇsnjak M, Sˇkunca N, Sˇmuc T (2011) REVIGO Summarizes and Visualizes Long Lists of Gene Ontology Terms. PLoS ONE 6: e21800. doi:10.1371/journal.pone.0021800.
- Gene ontology classification was acquired using the Database for Annotation, Visualization, and Integrated Discovery (DAVID, http://david.abcc.ncifcrf.gov/).
- DAVID identified many biological themes among our list of STAU-1 targets. These included embryonic, larval, and reproductive development (Fig. 5B and Supplemental Dataset 1). These are consistent with Staufen’s previously characterized role in developmental patterning in Drosophila oocytes and embryos (32,33,62).
- In addition, major GO terms associated with the human Staufen targets include cellular metabolism and cellular processes (42), and are not similar to the GO terms associated with C. elegans STAU-1 targets. We note that our studies analyzed STAU-1- associated RNAs in whole animals containing a wide array of cell types, whereas the human proteins were analyzed in a cultured cell line. Thus the biological meaning of the apparent differences in the targets of the human and worm proteins is uncertain.
- We used the Database for Annotation, Visualization and Integrated Discovery (DAVID), version 6.7, to cluster related target genes based on enriched Gene Ontology (GO) terms [39,40]
- 39. Huang da W, Sherman BT, Lempicki RA (2009) Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. Nucleic acids research 37: 1–13.
- 40. Huang da W, Sherman BT, Lempicki RA (2009) Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nature protocols 4: 44–57.
- We then used the DAVID functional annotation program to identify biologic themes within the common up‐ and down‐regulated genes.
Problems with GO data in WormBase (as of June 2013)
Jenkins Validation Checks
Infectious Agents Used in C. elegans Papers
|Pathogen Type||Gram Stain||Species||Strain||NCBI Taxon (strain-specific)||References||Comments|
|Bacterial||Salmonella enterica serovar typhimurium||SL1344||90371||WBPaper00028945|
|Bacterial||Negative||Shigella boydii||61||WBPaper00041339||Paper 41339 refers to an ATCC entry: http://www.atcc.org/products/all/9207.aspx#generalinformation that does not yet have an NCBI taxon ID.|
|Bacterial||Negative||Shigella flexneri||623||WBPaper00041339||Paper 41339 refers to an ATCC entry: http://www.atcc.org/products/all/12022.aspx that does not yet have an NCBI taxon ID.|
|Bacterial||Negative||Vibrio cholera||E7946||686||WBPaper00041163||Taxon ID is a parental ID of the strain cited in the paper, since the Ogawa strains in the paper don't match the entries in NCBI.|
|Fungal||Cryptococcus neoformans||H99||WBPaper00028945||There are a whole bunch of more specific H99 strains in NCBI, so can't make a 1:1 strain: taxon mapping here. For GO, could default just to general C. neoformans, 5207.|
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