CABRA: cluster and annotate BLAST results algorithm

dc.contributor.authorMier, Pablo
dc.contributor.authorAndrade, Miguel
dc.date.accessioned2022-05-23T08:34:01Z
dc.date.available2022-05-23T08:34:01Z
dc.date.issued2016
dc.description.abstractBackground 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.sponsorshipDFG, Open Access-Publizieren Universität Mainz / Universitätsmedizin
dc.identifier.doihttp://doi.org/10.25358/openscience-7024
dc.identifier.urihttps://openscience.ub.uni-mainz.de/handle/20.500.12030/7038
dc.language.isoeng
dc.rightsCC-BY-4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc570 Biowissenschaftende_DE
dc.subject.ddc570 Life sciencesen_GB
dc.titleCABRA: cluster and annotate BLAST results algorithmen_GB
dc.typeZeitschriftenaufsatzde_DE
jgu.apc.price1314,95
jgu.journal.titleBMC Research Notes
jgu.journal.volume9
jgu.notes.publicAndrade, Miguel veröffentlicht unter: Andrade-Navarro, Miguel A.
jgu.organisation.departmentFB 10 Biologiede_DE
jgu.organisation.nameJohannes Gutenberg-Universität Mainzde_DE
jgu.organisation.number7970
jgu.organisation.placeMainz
jgu.organisation.rorhttps://ror.org/023b0x485
jgu.pages.alternativeArt. 253
jgu.publisher.doi10.1186/s13104-016-2062-y
jgu.publisher.issn1756-0500
jgu.publisher.nameBioMed Central
jgu.publisher.placeLondon
jgu.publisher.urihttp://dx.doi.org/10.1186/s13104-016-2062-y
jgu.publisher.year2016
jgu.rights.accessrightsopenAccessen_GB
jgu.subject.ddccode570
jgu.type.dinitypeArticleen_GB
jgu.type.resourceTexten_GB
jgu.type.versionPublished versionen_GB
opus.affiliatedMier, Pablo
opus.affiliatedAndrade, Miguel
opus.date.modified2018-08-22T10:01:58Z
opus.identifier.opusid54755
opus.institute.number1010
opus.metadataonlyfalse
opus.organisation.stringFB 10: Biologie: Zentrum für Bioinformatik
opus.subject.dfgcode00-000
opus.type.contenttypeKeine
opus.type.contenttypeNone

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