TAIR December 2012: Difference between revisions

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'''Publications'''
'''Publications'''


[1] Tanya Z. Berardini, Donghui Li, Robert Muller, Raymond Chetty, Larry Ploetz, Shanker Singh, April Wensel, and Eva Huala (2012) Assessment of community-submitted ontology annotations from a novel database-journal partnership. Database doi:10.1093/database/bas030
[1] Tanya Z. Berardini, Donghui Li, Robert Muller, Raymond Chetty, Larry Ploetz, Shanker Singh, April Wensel, and Eva Huala (2012) Assessment of community-submitted ontology annotations from a novel database-journal partnership. Database doi:10.1093/database/bas030 (http://database.oxfordjournals.org/content/2012/bas030.short)


[2] Donghui Li, Tanya Z. Berardini, Robert Muller and Eva Huala (2012) Building an efficient curation workflow for the Arabidopsis literature corpus. Database doi: 10.1093/database/bas047 (http://database.oxfordjournals.org/content/2012/bas047.short)
[2] Donghui Li, Tanya Z. Berardini, Robert Muller and Eva Huala (2012) Building an efficient curation workflow for the Arabidopsis literature corpus. Database doi: 10.1093/database/bas047 (http://database.oxfordjournals.org/content/2012/bas047.short)

Revision as of 19:42, 7 December 2012

TAIR, The Arabidopsis Information Resource, December 2012

1. Staff working on GOC tasks

Tanya Berardini, Donghui Li

The total number of FTE working on GOC tasks is 1.4.

2. Annotation progress

Dates are 11/11 = 11/03/2011 and 12/12 = 12/06/2012.

Table 1: Number of Annotations to Various GO Aspects

Annotations BP (11/11) BP (12/12) change MF (11/11) MF (12/12) change CC (11/11) CC (12/12) change
non-IEA/non-ND 19401 57626 (36884 new RCA) + 38225 12293 13268 + 975 24348 55265 (27917 new ISM) + 30917
IEA 11276 18361 + 7085 18479 34881 + 16402 8335 7331 - 1004
ND 9904 9268 - 636 5271 5217 - 54 9120 4480 - 4640

Table 2: Number of Genes Annotated to Various GO Aspects

Genes BP (11/11) BP (12/12) change MF (11/11) MF (12/12) change CC (11/11) CC (12/12) change
non-IEA/non-ND 8463 13256 + 4793 7410 7707 + 297 8661 23690 + 15029
IEA 6620 10337 + 3717 7672 12795 + 5123 6148 4475 - 1673
ND 9904 9268 - 636 5270 5217 - 53 9116 4480 - 4636

IEA annotations are higher because they are not suppressed when an experimental annotation for that same aspect is also present.

3. Methods and strategies for annotation

a. Literature curation: We continue to put most of our annotation effort (95%) into annotation of gene products from the literature.

b. Computational annotation strategies: With every genome release, we run two computational GO annotation pipelines, one based on INTERPROtoGO mapping and the other based on a TargetP analysis. These results are integrated into our GO annotation file. This represents roughly 5% of our annotation effort.

c. Integration of non-TAIR Arabidopsis annotations: We integrate GOA Arabidopsis GO annotations into our gene association file so that all Arabidopsis annotations, regardless of original source, are now relayed to GO via TAIR with the appropriate source attribution. The following types of annotations are included in our Arabidopsis gene association file:

 1. Literature-based annotations made by TAIR curators
 2. Community annotations made via TAIR's TOAST annotation tool (see below)
 3. GOA annotations for Arabidopsis with experimental evidence codes
 4. PAINT-based Arabidopsis annotations from RefGenome group
 5. Function-Process link-based annotations from GOC 
 6. TIGR's annotations from Arabidopsis functional annotation project

d. Priorities for annotation:

 1. literature describing the characterization of previously undescribed ('novel') genes, 
 2. genes that do not have any GO annotations at all (none of the three aspects),
 3. recent literature from high impact factor journals

e. Review of user-submitted annotations (see TOAST section below)

 Donghui and Tanya review the annotations submitted via TOAST, making sure that terms were mapped correctly and that the 
 proper evidence_with information is entered, if necessary.  Sometimes, follow-up with the submitter via email is necessary.

4. Presentations and publications

GO 2012 Publications, Talks, Posters

Publications

[1] Tanya Z. Berardini, Donghui Li, Robert Muller, Raymond Chetty, Larry Ploetz, Shanker Singh, April Wensel, and Eva Huala (2012) Assessment of community-submitted ontology annotations from a novel database-journal partnership. Database doi:10.1093/database/bas030 (http://database.oxfordjournals.org/content/2012/bas030.short)

[2] Donghui Li, Tanya Z. Berardini, Robert Muller and Eva Huala (2012) Building an efficient curation workflow for the Arabidopsis literature corpus. Database doi: 10.1093/database/bas047 (http://database.oxfordjournals.org/content/2012/bas047.short)

[3] Van Auken, Kimberly; Berardini, Tanya; Dodson, Robert; Cooper, Laurel; Li, Donghui; Chan, Juancarlos; Li, Yuling; Basu, Siddhartha; Mueller, Hans-Michael; Chisholm, Rex; Huala, Eva; Sternberg, Paul (2012) Text Mining in the BioCuration Workflow: Applications for Literature Curation at WormBase, dictyBase, and TAIR. Database, in press.

[4] Chih-Hsuan Wei, Bethany R. Harris, Donghui Li, Tanya Z. Berardini, Eva Huala, Hung-Yu Kao and Zhiyong Lu (2012) Accelerating literature curation with text mining tools: A case study of using PubTator to curate genes in PubMed abstracts. Database, in press.

[5] Laurel Cooper; Ramona L. Walls; Justin Elser; Maria A. Gandolfo; Dennis W. Stevenson; Barry Smith; Justin Preece; Balaji Athreya; Christopher J. Mungall; Stefan Rensing; Manuel Hiss; Daniel Lang; Ralf Reski; Tanya Z. Berardini; Donghui Li; Eva Huala; Mary Schaeffer; Naama Menda; Elizabeth Arnaud; Rosemary Shrestha; Yukiko Yamazaki; Pankaj Jaiswal. The Plant Ontology As A Tool For Comparative Plant Anatomy And Genomic Analyses. Plant and Cell Physiology 2012; doi: 10.1093/pcp/pcs163

Talks

Donghui Li, From experimental data to structured knowledge: Literature curation workflow at The Arabidopsis Information Resource. 5th International Biocuration Conference (BioCreative), Washington, DC, USA, April 2-4, 2012.

5. Other Highlights

A. Ontology Development Contributions

  • GO terms contributed by TAIR

Donghui Li has submitted term requests involving 46 GO terms via SourceForge and TermGenie on behalf of TAIR curators from November 2011 to November 2012.

  • Other ontology development work

Tanya Berardini:

  • continues to participate in creating cross-products for terms within and among the three GO namespaces
  • participated in LEGO prototyping and modeling
  • participated in the project to align GO with ChEBI
  • working on aligning the Plant Ontology (PO) with GO with respect to anatomical structures used in the development branch of the biological process ontology
  • participates in the rota for Sourceforge request (4 total people in rota, one week at a time, weekly conference call)
  • participates in the rota for the gatekeeper for the TermGenie requests (4 total people in rota, one week at a time)
  • attends weekly GO editors conference call

Donghui Li:

  • attends regular GO annotation conference calls as the TAIR representative

B. Annotation outreach and user advocacy efforts

  • PAINT annotation

Donghui Li does PAINT-based annotation.

  • TOAST (TAIR Online Annotation Submission Tool)

TAIR continues to collect controlled vocabulary annotations via its online tool. TOAST

TAIR can accept annotations based on any journal article, regardless of the journal it was published in, provided that the article has a DOI or a PMID. Submitters must be registered at TAIR.

  • GO help

Tanya Berardini continues to participate in manning the GO helpdesk. This involves answering the questions that come in through gohelp@geneontology.org or forwarding them to the appropriate parties for response. There are 8 GOC curators that rotate this task, one week at a time.


C. Other highlights

Donghui Li continues to serve as a member of the BioCreative User Advisory Group. This involves developing a GO task for BioCreative V (development of modules to aid GO curators in identifying articles with curatable GO information (triage) and extracting gene function terms and the associated evidence sentences in full-length articles) as well as a strategy to create a gold-standard annotated literature corpus for text mining.