WormBase December 2014: Difference between revisions

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Curation of the primary literature continues to be the major focus of our manual annotation efforts.
Curation of the primary literature continues to be the major focus of our manual annotation efforts.
Over the past year, WormBase has begun a topic-based approach to curation in which curators focus curation efforts on one or more biological topics, or processes, for each release cycle.  Topics over the past year have included the endoplasmic reticulum and mitochondrial unfolded protein responses, Wnt signaling pathways, and apoptosis.


'''Semi-automated curation using the Textpresso information retrieval system'''
'''Semi-automated curation using the Textpresso information retrieval system'''
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'''Computational annotation strategies:'''  
'''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.
Our computational annotation strategies include mapping genes to GO terms using InterPro domains and mapping genes to Biological Process terms based upon mappings between terms in the Worm Phenotype Ontology (WPO).  Beginning with the WS246 WormBase release, these Phenotype2GO-based annotations will include phenotypes based upon genetic variations as well as RNAi experimentsResults from automated methods are generated anew with each WormBase database build to reflect any changes in the underlying reference genome sequence and/or gene models.
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==
==Curation strategies==

Revision as of 16:43, 4 December 2014

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 1, 2014

Manual annotation statistics are summarized in Tables 1 - 3.

Total number of unique manual annotations: 27422

Total number of genes with manual annotations: 4690

Table 1: Summary of C. elegans Manual Biological Process Annotations

Numbers refer to total number of annotations; annotations in parentheses represent annotations with extensions.

Annotation Group IMP IGI IDA ISS TAS IEP IPI IC NAS ISM ND IBA IRD RCA ISO IKR
WormBase 7461 (244) 2990 (53) 1107 (19) 315 (1) 115 275 (58) 60 50 (10) 32 2 0 0 0 0 0 0
UniProt 466 (2) 28 115 (1) 170 22 13 0 5 104 0 65 0 0 2 0 0
GOC 59 10 309 329 22 0 4 7 14 0 0 331 0 2 2 0
BHF-UCL 11 0 0 2 0 4 0 0 0 0 0 0 0 0 0 0
MGI 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
HGNC 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0
GO_Central 0 0 0 4 0 0 0 0 0 0 0 2810 3 0 0 1
ParkinsonsUK-UCL 2 2 (2) 6 0 0 0 0 0 0 0 0 0 0 0 0 0
Totals 8004 (246) 3030 (55) 1537 (20) 804 (1) 159 292 (58) 64 62 (10) 150 2 65 3141 3 4 2 1


Table 2: Summary of C. elegans Molecular Function Annotations

Numbers refer to total number of annotations; annotations in parentheses represent annotations with extensions.

Annotation Group IMP IGI IDA ISS TAS IEP IPI IC NAS ISM ND IBA IRD RCA ISO IKR
WormBase 151 (5) 35 1617 (133) 658 (1) 49 0 1211 11 7 4 35 0 0 0 2 0
IntAct 0 0 0 0 0 0 1987 (54) 0 0 0 0 0 0 0 0 0
UniProt 33 2 99 (1) 172 19 0 231 3 53 0 127 0 0 19 0 0
GO_Central 0 0 0 0 0 0 0 0 0 0 0 2096 2 0 0 1
HGNC 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0
ParkinsonsUK-UCL 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0
Totals 184 (5) 37 1720 (134) 832 (1) 68 0 3429 (54) 13 60 4 162 2096 2 19 2 1


Table 3: Summary of C. elegans Cellular Component Annotations

Numbers refer to total number of annotations; annotations in parentheses represent annotations with extensions.

Annotation Group IMP IGI IDA ISS TAS IEP IPI IC NAS ISM ND IBA IRD RCA ISO IKR
WormBase 9 0 5625 (683) 322 26 0 142 (3) 43 6 4 4 0 0 1 0 0
GO_Central 0 0 0 0 0 0 0 0 0 0 0 2001 3 0 0 1
UniProt 14 1 208 186 16 0 0 19 50 0 119 0 0 18 0 0
MGI 0 0 14 0 0 0 0 0 0 0 0 0 0 0 0 0
BHF-UCL 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0
Reactome 0 0 0 3 4 0 0 0 0 0 0 0 0 0 0 0
HGNC 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0
Totals 23 1 5854 (683) 519 46 0 142 (3) 62 56 4 123 2001 3 19 0 1


Table 4: Summary of C. elegans Computational Annotations

Based on WormBase Release WS246

Total number of genes with Phenotype2GO-based Annotation: 6,809

Total number of genes with InterPro2GO-based Annotation: 11,282

Type of Annotation IEA
Phenotype2GO Mappings - WormBase 42,666
IEA/InterPro2GO - WormBase 35,082

Methods and strategies for annotation

Curation methods

Literature curation:

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

Over the past year, WormBase has begun a topic-based approach to curation in which curators focus curation efforts on one or more biological topics, or processes, for each release cycle. Topics over the past year have included the endoplasmic reticulum and mitochondrial unfolded protein responses, Wnt signaling pathways, and apoptosis.

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 mappings between terms in the Worm Phenotype Ontology (WPO). Beginning with the WS246 WormBase release, these Phenotype2GO-based annotations will include phenotypes based upon genetic variations as well as RNAi experiments. Results from automated methods are generated anew with each WormBase database build to reflect any changes in the underlying reference genome sequence and/or gene models.

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:

  • Pending Term Requests:
    • lysosome-related organelle
    • gut granule
    • gut granule lumen
    • gut granule membrane
    • peptidyl-proline 4-dioxygenase binding


B. Annotation Outreach and User Advocacy Efforts:

  • 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:

  • We have written a new script for reporting our manual annotations statistics. This script reports the number of annotations per contributing group according to evidence code and also reports the number of annotations with annotation extensions.
  • 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