dictyBase – March 2004 Progress Report

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dictyBase – March 2006 Progress Report.

1. GO Staff.

GO Annotators: Petra Fey, Pascale Gaudet, Karen Pilcher

GO Developer: Sohel Merchant

Gene Ontology annotation is integral to the curation process at dictyBase. Annotation of gene products to GO terms is done concurrently with curation of literature, phenotypes, and sequences. All three curators work to annotate gene products of the Dictyostelium genome.

We are now providing a gp2protein file to the GO Consortium. This allows other users to see and BLAST against the sequences being annotated at dictyBase.

To conform to the weekly checking script, we have implemented internal quality control before the GO association file is committed. We have adopted the GO checking script, which checks the association files generated by dictyBase and reports any errors. In addition to checking for errors, the quality control script fixes any errors that can be modified automatically, such as replacing secondary GO IDs with primary

GO IDs.

We have created an automated process to generate IEAs using the

InterPro2GO mappings from EBI. These electronic annotations were previously provided by the Welcome Trust Sanger Institute annotation pipeline. We are using the WSInterProScan remote web service running at

EBI to generate our annotations. We plan to update these IEAs quarterly to ensure that we are in sync with the most current

InterPro2GO mappings.

Sohel Merchant is currently working on a redesign of the GO curation tools. The design changes will allow us to capture different types of physical and genetic interactions. This will include a complete redesign of the underlying database schema to capture more complicated sets of GO data. For example, we will be able to differentiate gene product X interacting with Y and Z simultaneously from independent interactions of X with Y and X with Z. In addition, we will be implementing a way to store context information such as cell type and developmental stage.

We have implemented a generic OBO file parser to parse any ontology file in OBO format. This will be available to users in the next

BioPerl release.

Pascale Gaudet is a member of the AmiGO working group.

Petra Fey is a member of the OBO-Edit working group.

2. Annotation Progress: Current GO Stats. a. Number of annotations to various GO aspects.

Apr-05 Mar-06 Increase

Total number of annotations: 18223 26229 44%

Function

Process

Component

Total number of non-IEA annotations:

8108

6283

3832

10898

9378

5953

6905 10911

34%

49%

55%

58%

Function

Process

Component

Total number of distinct non-IEA annotations:

Total number of annotations:

2440

2576

1889

3888

3946

3077

1116 1521

18223 26229

59%

53%

62%

37%

44%

IMP

IGI

IPI

ISS

IDA

IEP

TAS

NAS

NR

IEA

ND

IC

RCA

399

33

57

4296

454

4

476

6

0

11318

1091

89

0

682

58

110

6190

797

38

514

51

0

15318

2314

157

0

71%

76%

93%

44%

76%

850%

79%

750%

0%

35%

112%

76%

0%

b. Number of genes annotated to various GO aspects.

Apr-05 Mar-06 Increase

Total number of genes:

Total number of curated gene models:

Total number of genes with annotations:

13640

2274

5392

13620

3181

6299

-0.14%

40%

17%

Function

Process

Component

Total number of genes with non-IEA annotations:

4725

3986

2871

1689

5716

5194

4082

2669

21%

30%

42%

58%

Function

Process

Component

1606

1602

1505

2547

2548

2447

59%

59%

63%

3. Methods of Annotation. a. Literature curation.

In addition to gene product and phenotype annotation, dictyBase curators extract GO from Dictyostelium publications. To date, we are current with the literature since January of 2004 and are working our way backwards chronologically while staying up-to-date with new publications. b. Curation of previously unidentified genes and gene products.

Because only a small fraction of the predicted proteins have been characterized in the literature, dictyBase curators are annotating gene products that have EST coverage and/or contain conserved functional domains. Gene products of this type are annotated with the ISS evidence code as there is no published data available. c. Automated methods. i. IEAs via the BLAST method. All Dictyostelium protein sequences are analyzed by BLAST against GO gene association sequence files

(http://www.geneontology.org/index.shtml#downloads), identifying proteins in other organisms that align with Dictyostelium proteins with an E value ≤ e -50 . GO annotations that have been manually assigned to these proteins from other species are then imported and attached to the corresponding gene product in dictyBase. The proteins from which the annotations are derived are displayed in the 'Evidence' column on the

Gene Ontology evidence and references page. ii. IEAs via InterPro2GO. Protein sequences in dictyBase are scanned for conserved functional domains that exist in InterPro. Domains are mapped to GO annotations using the InterPro2GO mapping file generated

by Nicola Mulder at EBI. These GO annotations are then assigned to the respective gene products. d. Quality control measures.

We work closely at dictyBase to ensure that annotations are consistent between curators and conform to the guidelines set in the annotation documentation. We also have a set of internal guidelines recorded in the dictyBase Standard Operating Procedures (http://dictybase.org/SOPs) to which curators adhere. The three curators meet monthly with the goal of maintaining consistency. In these meetings, we examine a variety of publications with the intent of covering all possible issues in annotation. Annotations are typically conservative, in particular when making ISS annotations for which there is no published information about the Dictyostelium gene product.

4. Ontology Development.

Annotators have requested several additions and changes to the ontologies necessary to annotate Dictyostelium development. These requests focus on, but are not limited to, process terms to describe developmental events such as cell type differentiation and formation of developmental structures. Non-developmental terms have also been requested, including terms related to metabolism, cytoskeleton, DNA modification, and glycosylation. Additionally, we frequently deal with

InterPro2GO mappings and request deletions or additions of terms to

InterPro records. Since April 2005, we have submitted 51 items to

Curator requests and 47 items to the Annotation issues at

SourceForge.net.

5. Publications, tutorials, and presentations.

Chisholm, R.L. (2005). dictyBase: Using the Genome to Organize

Dictyostelium Biology. In Dictyostelium Genomics. W. Loomis and A.

Kuspa, editors. Horizon Press. Pp. 23-39.

Chisholm, R. L., Gaudet, P., Just, E. M., Pilcher, K. E., Fey, P.,

Merchant, S. N., Kibbe, W. A. (2006). dictyBase, the model organism database for Dictyostelium discoideum. Nucleic Acids Res 34:D423-7.

Fey. P., Gaudet, P., Pilcher, K. E., Franke, J., Chisholm, R.L. (2005). dictyBase and the Dicty Stock Center. In Dictyostelium discoideum

Protocols. L. Eichinger and F. Rivero-Crespo, editors. Humana Press. In press.

Gaudet, P., Pilcher, K. E., Fey, P., Kibbe, W. A., Chisholm, R. L.

(2005). Curation at dictyBase [poster]. The First International

Biocurator Meeting, Pacific Grove, CA.

Gaudet, P., Pilcher, K. E., Fey, P., Kibbe, W. A., Chisholm, R. L.

(2005). Curation at dictyBase [poster]. International Dictyostelium

Conference, Autrans, France.

Just, E. M., Merchant, S. N., Kibbe, W. A., Chisholm, R. L. (2005). An

Overview of the Architecture of dictyBase [poster]. International

Dictyostelium Conference, Autrans, France.

Just, E. M., Merchant, S. N., Kibbe, W. A., Chisholm, R. L. (2005). dictyBase: A Case Study of an Existing Genome Resource Adopting GMOD

Tools. Genome Informatics 2005, Cold Spring Harbor Laboratory, NY.

Just, E. M., Merchant, S. N., Kibbe, W. A., Chisholm, R. L. (2005). dictyBase: A Case Study of an Existing Genome Resource Adopting GMOD

Tools [poster]. GMOD Spring 2005, Menlo Park, CA.

Merchant, S. N., Just, E. M., Kibbe, W. A., Chisholm, R. L. (2005). An

Architectural Overview Of A Secure, Robust And Cross-platform

Integration Of The Apollo Genome Annotation Tool Into A Perl Web

Application [poster]. Genome Informatics 2005, Cold Spring Harbor

Laboratory, NY.

Pilcher, K. E., Gaudet, P., Fey, P., Just, E. M., Merchant, S. N.,

Kibbe, W. A., Chisholm, R. L. (2005). dictyBase Workshop 2005.

International Dictyostelium Conference, Autrans, France.

6. Other highlights. i. dictyMart. dictyBase developers implemented a Dictyostelium specific version of BioMart (http://www.biomart.org). This powerful new tool allows our users to do more advanced queries in the database and retrieve comprehensive, custom search results, including FASTA sequence files. ii. Downloads. dictyBase now offers a comprehensive data download site. Items available for download include various sequence datasets, functional annotations, GFF3 files, Gene Ontology association file,

Dictyostelium mutant phenotypes, the Franke Reference Library, third party tools sent to us by users, and protein domains as predicted by

InterPro. iii. Phenotype ontology. The curators at dictyBase have been working to create mutant type and phenotype ontologies. The ontologies will be used for phenotype curation in our next software release planned for

April 2006, and we plan to comply with PATO guidelines once they have been revised. iv. Dicty Stock Center. To improve integration of the Dicty Stock

Center into dictyBase, we have linked the strains in the Stock Center with their corresponding genes. The Stock Center is maintained and curated by Jakob Franke at Columbia University, New York. v. Genome Version 2.5. The latest version of the genome from the

Sequencing Centers has been integrated into dictyBase. Changes in this version include gap closures and base call corrections; these changes are being fed back into GenBank. vi. Chado. dictyBase developers have implemented the Chado database schema (www.gmod.org/schema/index.shtml). We have used the schema to create improved relationships between genes and features. The next step

is to utilize Chado for display of non-protein-coding features such as tRNAs, rRNAs, and microRNAs. vii. STKE. We have created reciprocal links between the Gene Pages in dictyBase and the pathways pages in the AAAS Signal Transduction

Knowledge Environment (STKE).

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