Blast2GO : A Comprehensive Suite for Functional Analysis in Plant Genomics

Joint Authors

Conesa, Ana
Götz, Stefan

Source

International Journal of Plant Genomics

Issue

Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2008-04-30

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Botany

Abstract EN

Functional annotation of novel sequence data is a primary requirement for the utilization of functional genomics approaches in plant research.

In this paper, we describe the Blast2GO suite as a comprehensive bioinformatics tool for functional annotation of sequences and data mining on the resulting annotations, primarily based on the gene ontology (GO) vocabulary.

Blast2GO optimizes function transfer from homologous sequences through an elaborate algorithm that considers similarity, the extension of the homology, the database of choice, the GO hierarchy, and the quality of the original annotations.

The tool includes numerous functions for the visualization, management, and statistical analysis of annotation results, including gene set enrichment analysis.

The application supports InterPro, enzyme codes, KEGG pathways, GO direct acyclic graphs (DAGs), and GOSlim.

Blast2GO is a suitable tool for plant genomics research because of its versatility, easy installation, and friendly use.

American Psychological Association (APA)

Conesa, Ana& Götz, Stefan. 2008. Blast2GO : A Comprehensive Suite for Functional Analysis in Plant Genomics. International Journal of Plant Genomics،Vol. 2008, no. 2008, pp.1-12.
https://search.emarefa.net/detail/BIM-485722

Modern Language Association (MLA)

Conesa, Ana& Götz, Stefan. Blast2GO : A Comprehensive Suite for Functional Analysis in Plant Genomics. International Journal of Plant Genomics No. 2008 (2008), pp.1-12.
https://search.emarefa.net/detail/BIM-485722

American Medical Association (AMA)

Conesa, Ana& Götz, Stefan. Blast2GO : A Comprehensive Suite for Functional Analysis in Plant Genomics. International Journal of Plant Genomics. 2008. Vol. 2008, no. 2008, pp.1-12.
https://search.emarefa.net/detail/BIM-485722

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-485722