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BMC Res Notes. 2016 Apr 30;9:253. doi: 10.1186/s13104-016-2062-y.

CABRA: Cluster and Annotate Blast Results Algorithm.

Author information

1
Faculty of Biology, JGU Mainz, Gresemundweg, 2, 55128, Mainz, Germany. munoz@uni-mainz.com.
2
Institute of Molecular Biology, Ackermannweg 4, 55128, Mainz, Germany. munoz@uni-mainz.com.
3
Faculty of Biology, JGU Mainz, Gresemundweg, 2, 55128, Mainz, Germany.
4
Institute of Molecular Biology, Ackermannweg 4, 55128, Mainz, Germany.

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.

KEYWORDS:

BLAST search; Clustering; Computational biology; Web tool

PMID:
27129717
PMCID:
PMC4851773
DOI:
10.1186/s13104-016-2062-y
[Indexed for MEDLINE]
Free PMC Article

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