WormBase Dec 5-March 3 - in progress

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Overview:

Staff:

Paul Sternberg, PI, WormBase, GO [8%; 0% funded by GOC]

Juancarlos Chan, Developer, WormBase [25%; 25% funded by GOC]

James Done, Developer, Textpresso [40%; 40% funded by GOC]

Ranjana Kishore, Curator [25%; 10% funded by GOC]

Yuling Li, Developer, Textpresso [30%; 20% funded by GOC]

Hans Michael Mueller, PI, Textpresso [75%; 50% funded by GOC]

Daniela Raciti, Curator [10%; 0% funded by GOC]

Kimberly Van Auken, Curator [100%; 75% funded by GOC]

Annotation Progress

WormBase GO Annotation Statistics as of December 2013

Table 1: Number of Genes Annotated

Type of Annotation Genes Annotated, Dec 2013 % Change from Dec 2012 Number of Unique GO Terms % Change from 2012 Total Number of Annotations % Change from Dec 2012
Manual Annotation 2,767 +6.4 2,324 +0.6% 13,739 +2.6%
Phenotype2GO Mappings 5,541 -13.7 118 +1.7% 40,703 -8.0%
IEA/Electronic 13,946 +1.5 1,644 +6.2% 46,424 -15.7%
Total 15,677 -4.9% 3,436 +3.8% 100,866 -5.4%

Methods and strategies for annotation

Literature curation:

Curation of the primary literature continues to be the major focus of our manual annotation efforts.

Semi-automated curation using the Textpresso information retrieval system

We also routinely employ the Textpresso information retrieval system for semi-automated curation of GO Cellular Component and Molecular Function annotations.

Computational annotation strategies:

Our computational annotation strategies include mapping genes to GO terms using InterPro domains and mapping genes to Biological Process terms based upon parallel annotations to the Worm Phenotype Ontology (Phenotype2GO). These methods are performed automatically as part of the WormBase database build.

Note that during the past year, we stopped using an automated pipeline that mapped genes to GO:0016021, integral to plasma membrane, based on the results of a transmembrane prediction algorithm, TMHMM, as these IEA annotations had no external database identifier for the With/From column and therefore were not consistent with GO annotation practices.


Curation strategies

Priorities for annotation

Selection of genes for annotation is guided by several criteria:

  • Annotation of gene sets involved in specific biological processes as part of WormBase's coordinated topic-based curation process
    • Topics annotated to date: Unfolded Protein Response (ER and mitochondrial), innate immune response, and defense response to pathogen
  • Genes identified in Textpresso-based curation pipelines
  • Re-annotation of genes associated with now obsolete GO terms or new ontology terms
  • Publication of newly characterized genes
  • C. elegans genes orthologous to human disease genes

Presentations and Publications

a. Papers with substantial GO content

One paper has been accepted with minor revisions:

  • "BC4GO: A Full-Text Corpus for the BioCreative IV GO Task." Kimberly Van Auken, Mary L. Schaeffer, Peter McQuilton, Stanley J. F. Laulederkind, Donghui Li, Shur-Jen Wang, G. Thomas Hayman, Susan Tweedie, Cecilia N. Arighi, James Done, Hans-Michael Müller, Paul W. Sternberg, Yuqing Mao, Chih-Hsuan Wei, Zhiyong Lu. Submitted to Database, currently under revision.

Two papers are currently under review:

  • "Overview of the Gene Ontology Task at BioCreative IV." Yuqing Mao, Kimberly Van Auken, Donghui Li, Cecilia N. Arighi, Peter McQuilton, G. Thomas Hayman, Susan Tweedie, Mary L. Schaeffer, Stanley J. F. Laulederkind, Shur-Jen Wang, Gobeill Julien, Ruch Patrick, Luu Anh Tuan, Jung-jae Kim, Jung-Hsien Chiang, Yu-De Chen, Chia-Jung Yang, Hongfang Liu, Dongqing Zhu, Yanpeng Li, Hong Yu, Ehsan Emadzadeh, Graciela Gonzalez, Jian-Ming Chen, Hong-Jie Dai, Zhiyong Lu. Submitted to Database.
  • "A method for increasing expressivity of Gene Ontology annotations using a compositional approach." Rachael P Huntley, Midori A Harris, Yasmin Alam-Faruque, Judith A Blake, Seth Carbon, Heiko Dietze, Emily C Dimmer, Rebecca E Foulger, David P Hill, Varsha K Khodiyar, Antonia Lock, Jane Lomax, Ruth C Lovering, Prudence Mutowo-Meullenet, Tony Sawford, Kimberly Van Auken, Valerie Wood and Christopher J Mungall. Submitted to BMC Bioinformatics.

b. Presentations including Talks and Tutorials and Teaching

c. Poster presentations

Other Highlights:

A. Ontology Development Contributions:


B. Annotation Outreach and User Advocacy Efforts:

  • Ranjana Kishore - AmiGO2 working group
  • Kimberly Van Auken continues to serve on the GO-help rota.
  • Kimberly Van Auken assisted with migration of content to the new GO website.


C. Other Highlights:

  • WormBase GO Annotation Model - We have completed a draft of a new GO annotation model for WormBase and will begin testing sample data. The new GO model should be incorporated into WormBase build WS244.
  • BioCreative - WormBase participated in the BioCreative Track 4 task of identifying GO evidence sentences and GO annotations from the full text of publications. Using a GO Annotation Tool (GOAT) developed by the Textpresso team that allowed for highlighting sentences and associating GO annotations, a WormBase curator provided training and test data for the full text of 22 papers and then helped to perform error analysis on the results submitted by the participating teams. Other curation groups participating included FlyBase, MaizeDB, RGD, and TAIR. Two papers describing this work were submitted to Database and one has been accepted with minor revision.

Back to http://wiki.geneontology.org/index.php/Progress_Reports