Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-7024
Authors: Mier, Pablo
Andrade, Miguel
Title: CABRA: cluster and annotate BLAST results algorithm
Online publication date: 23-May-2022
Language: english
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.
DDC: 570 Biowissenschaften
570 Life sciences
Institution: Johannes Gutenberg-Universität Mainz
Department: FB 10 Biologie
Place: Mainz
ROR: https://ror.org/023b0x485
DOI: http://doi.org/10.25358/openscience-7024
Version: Published version
Publication type: Zeitschriftenaufsatz
License: CC BY
Information on rights of use: https://creativecommons.org/licenses/by/4.0/
Journal: BMC Research Notes
9
Pages or article number: Art. 253
Publisher: BioMed Central
Publisher place: London
Issue date: 2016
ISSN: 1756-0500
Publisher URL: http://dx.doi.org/10.1186/s13104-016-2062-y
Publisher DOI: 10.1186/s13104-016-2062-y
Annotation: Andrade, Miguel veröffentlicht unter: Andrade-Navarro, Miguel A.
Appears in collections:DFG-OA-Publizieren (2012 - 2017)

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