CABRA: Cluster and Annotate Blast Results Algorithm. (December 2016)

• Record Type: Journal Article
• Authors: Mier, Pablo; Andrade-Navarro, Miguel
• Is Part Of: BMC research notes. Volume 9:Number 1(2016)
• Page Start: 1
• Page End: 6
• Publication Date: 2016-12
• Subjects: Clustering -- BLAST search -- Web tool -- Computational biology; Medicine -- Periodicals; Biology -- Periodicals; 610.5
• DOI: 10.1186/s13104-016-2062-y
• Languages: English
• ISSNs: 1756-0500

Abstract

Abstract Background Basic local alignment search tool (BLAST) searches are frequently used to look for homologous sequences and to annotate a query protein, but the increasing size of protein databases makes it difficult to review all results from a similarity search. Findings We developed a web tool called Cluster and Annotate Blast Results Algorithm (CABRA), which enables a rapid BLAST search in a variety of updated reference proteomes, and provides a new way to functionally evaluate the results by the subsequent clustering of the hits and annotation of the clusters. The tool can be accessed from the following web-resource:http://cbdm-01.zdv.uni-mainz.de/~munoz/CABRA . Conclusions Cluster and Annotate Blast Results Algorithm simplifies the analysis of the results of a BLAST search by providing an overview of the result's annotations organized in clusters that can be iteratively modified by the user.