Gutenberg Open Science: CABRA: cluster and annotate BLAST results algorithm

Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-7024

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DC Field	Value	Language
dc.contributor.author	Mier, Pablo	-
dc.contributor.author	Andrade, Miguel	-
dc.date.accessioned	2022-05-23T08:34:01Z	-
dc.date.available	2022-05-23T08:34:01Z	-
dc.date.issued	2016
dc.identifier.uri	https://openscience.ub.uni-mainz.de/handle/20.500.12030/7038	-
dc.description.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.	en_GB
dc.description.sponsorship	DFG, Open Access-Publizieren Universität Mainz / Universitätsmedizin	de
dc.language.iso	eng	de
dc.rights	CC BY	*
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	*
dc.subject.ddc	570 Biowissenschaften	de_DE
dc.subject.ddc	570 Life sciences	en_GB
dc.title	CABRA: cluster and annotate BLAST results algorithm	en_GB
dc.type	Zeitschriftenaufsatz	de
dc.identifier.doi	http://doi.org/10.25358/openscience-7024	-
jgu.type.dinitype	article	en_GB
jgu.type.version	Published version	de
jgu.type.resource	Text	de
jgu.organisation.department	FB 10 Biologie	de
jgu.organisation.number	7970	-
jgu.organisation.name	Johannes Gutenberg-Universität Mainz	-
jgu.rights.accessrights	openAccess	-
jgu.journal.title	BMC Research Notes	de
jgu.journal.volume	9	de
jgu.pages.alternative	Art. 253	de
jgu.publisher.year	2016	-
jgu.publisher.name	BioMed Central	de
jgu.publisher.place	London	de
jgu.publisher.uri	http://dx.doi.org/10.1186/s13104-016-2062-y	de
jgu.publisher.issn	1756-0500	de
jgu.notes.public	Andrade, Miguel veröffentlicht unter: Andrade-Navarro, Miguel A.	de
jgu.organisation.place	Mainz	-
jgu.subject.ddccode	570	de
opus.date.modified	2018-08-22T10:01:58Z
opus.subject.dfgcode	00-000
opus.organisation.string	FB 10: Biologie: Zentrum für Bioinformatik	de_DE
opus.identifier.opusid	54755
opus.institute.number	1010
opus.metadataonly	false
opus.type.contenttype	Keine	de_DE
opus.type.contenttype	None	en_EN
opus.affiliated	Mier, Pablo
opus.affiliated	Andrade, Miguel
jgu.publisher.doi	10.1186/s13104-016-2062-y	de
jgu.organisation.ror	https://ror.org/023b0x485
Appears in collections:	DFG-OA-Publizieren (2012 - 2017)

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