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Updated: Mar 22, 2026

A Practical Guide to Phylogenetics for Nonexperts
Published on: February 5, 2014
CABRA: Cluster and Annotate Blast Results Algorithm
Pablo Mier1,2, Miguel A Andrade-Navarro3,4
1Faculty of Biology, JGU Mainz, Gresemundweg, 2, 55128, Mainz, Germany. munoz@uni-mainz.com.
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.
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