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Blast2GO：植物基因组学功能分析综合套件。

Blast2GO: A comprehensive suite for functional analysis in plant genomics.

作者信息

Conesa Ana, Götz Stefan

机构信息

Bioinformatics Department, Centro de Investigación Príncipe Felipe, Valencia, Spain.

出版信息

Int J Plant Genomics. 2008;2008:619832. doi: 10.1155/2008/619832.

DOI:10.1155/2008/619832
PMID:18483572
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2375974/
Abstract

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.

摘要

新序列数据的功能注释是在植物研究中利用功能基因组学方法的首要要求。在本文中，我们将Blast2GO套件描述为一种用于序列功能注释和基于所得注释进行数据挖掘的综合生物信息学工具，主要基于基因本体（GO）词汇表。Blast2GO通过一种精心设计的算法优化了从同源序列的功能转移，该算法考虑了相似性、同源性的延伸、所选数据库、GO层次结构以及原始注释的质量。该工具包括用于注释结果的可视化、管理和统计分析的众多功能，包括基因集富集分析。该应用支持InterPro、酶代码、KEGG通路、GO直接无环图（DAG）和GOSlim。由于其多功能性、易于安装和使用便捷，Blast2GO是植物基因组学研究的合适工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50af/2375974/e721c25d51bc/IJPG2008-619832.012.jpg
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