Blast2GO: A Comprehensive Suite for Functional Analysis in Plant Genomics

By Ana Conesa, Stefan Götz. International Journal of Plant Genomics, 2007

2,111 citations recorded by the source corpus.

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.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/81b74385488ab8704ce7e04a332de4971d00a499

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

Citations in the corpus

InterPro in 2019: improving coverage, classification and access to protein sequence annotations (2018, methodology): “InterPro data are also used by a variety of other annotation pipelines, including Ensembl (21), Ensembl Genomes (22), PDBe (23), BLAST2GO (24), Genome Properties (https://www.ebi.ac. uk/interpro/genomeproperties/), PhytoPath (25), MEGAN (26) and MGnify (previously known as EBI Metagenomics) ( 27).”
CELLO2GO: A Web Server for Protein subCELlular LOcalization Prediction with Functional Gene Ontology Annotation (2014, background): “To rapidly and accurately find the appropriate GO annotations and determine the possible relationships within a given set of proteins, BLAST [2] is often used to search for proteins with similar sequences and known functions [3] so that functional GO-category annotations can be made [4,5].”
InterPro: the protein sequence classification resource in 2025 (2024, positive): “Ad-ditionally, InterPro data are integral to various annotation pipelines, including Ensembl ( 28 ), Ensembl Genomes ( 29 ), PDBe ( 30 ), Blast2GO ( 31 ), Genome Properties ( 32 ), MGnify ( 33 ) and MGnify Genomes ( 34 ).”