CABRA: cluster and annotate BLAST results algorithm

Publikationstyp:
Zeitschriftenaufsatz
Metadaten:
Autoren
  • Pablo Mier
  • Miguel Andrade
Sammlungen
  • metadata
ISSN
1756-0500
Zeitschrift
BMC Research Notes
Schlüsselwörter
  • 570 Biowissenschaften
  • 570 Life sciences
Sprache
eng
Notes
Andrade, Miguel veröffentlicht unter: Andrade-Navarro, Miguel A.
Paginierung
Art. 253
Datum der Veröffentlichung
2016
Herausgeber
BioMed Central
Herausgeber URL
http://dx.doi.org/10.1186/s13104-016-2062-y
Datum der Datenerfassung
2020
Datum, an dem der Datensatz öffentlich gemacht wurde
2020
Zugang
Public
Titel
CABRA: cluster and annotate BLAST results algorithm
Ausgabe der Zeitschrift
9

Datenquelle: METADATA.UB

Andere Metadatenquellen:
Autoren
  • Pablo Mier
  • Miguel A Andrade-Navarro
DOI
10.1186/s13104-016-2062-y
eISSN
1756-0500
Ausgabe der Veröffentlichung
1
Zeitschrift
BMC Research Notes
Sprache
en
Artikelnummer
253
Online publication date
2016
Datum der Veröffentlichung
2016
Status
Published
Herausgeber
Springer Science and Business Media LLC
Herausgeber URL
http://dx.doi.org/10.1186/s13104-016-2062-y
Datum der Datenerfassung
2017
Titel
CABRA: Cluster and Annotate Blast Results Algorithm
Ausgabe der Zeitschrift
9

Datenquelle: Crossref

Abstract
<h4>Background</h4>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.<h4>Findings</h4>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 .<h4>Conclusions</h4>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.
Addresses
  • Faculty of Biology, JGU Mainz, Gresemundweg, 2, 55128, Mainz, Germany. munoz@uni-mainz.com.
Autoren
  • Pablo Mier
  • Miguel A Andrade-Navarro
DOI
10.1186/s13104-016-2062-y
eISSN
1756-0500
Externe Identifier
  • PubMed Identifier: 27129717
  • PubMed Central ID: PMC4851773
Open access
true
ISSN
1756-0500
Zeitschrift
BMC research notes
Schlüsselwörter
  • Cluster Analysis
  • Sequence Alignment
  • Amino Acid Sequence
  • Sequence Homology, Amino Acid
  • Algorithms
  • Internet
  • User-Computer Interface
Sprache
eng
Medium
Electronic
Online publication date
2016
Open access status
Open Access
Paginierung
253
Datum der Veröffentlichung
2016
Status
Published
Publisher licence
CC BY
Datum der Datenerfassung
2016
Titel
CABRA: Cluster and Annotate Blast Results Algorithm.
Sub types
  • brief-report
  • Journal Article
Ausgabe der Zeitschrift
9

Files

https://bmcresnotes.biomedcentral.com/track/pdf/10.1186/s13104-016-2062-y https://europepmc.org/articles/PMC4851773?pdf=render

Datenquelle: Europe PubMed Central

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.
Date of acceptance
2016
Autoren
  • Pablo Mier
  • Miguel A Andrade-Navarro
Autoren-URL
https://www.ncbi.nlm.nih.gov/pubmed/27129717
DOI
10.1186/s13104-016-2062-y
eISSN
1756-0500
Externe Identifier
  • PubMed Central ID: PMC4851773
Zeitschrift
BMC Res Notes
Schlüsselwörter
  • BLAST search
  • Clustering
  • Computational biology
  • Web tool
  • Algorithms
  • Amino Acid Sequence
  • Cluster Analysis
  • Internet
  • Sequence Alignment
  • Sequence Homology, Amino Acid
  • User-Computer Interface
Sprache
eng
Country
England
Paginierung
253
PII
10.1186/s13104-016-2062-y
Datum der Veröffentlichung
2016
Status
Published online
Datum, an dem der Datensatz öffentlich gemacht wurde
2017
Titel
CABRA: Cluster and Annotate Blast Results Algorithm.
Sub types
  • Journal Article
Ausgabe der Zeitschrift
9

Datenquelle: PubMed

Author's licence
CC-BY
Autoren
  • Pablo Mier
  • Miguel Andrade
Hosting institution
Universitätsbibliothek Mainz
Sammlungen
  • DFG-OA-Publizieren (2012 - 2017)
Resource version
Published version
DOI
10.1186/s13104-016-2062-y
Funding acknowledgements
  • DFG, Open Access-Publizieren Universität Mainz / Universitätsmedizin
File(s) embargoed
false
Open access
true
ISSN
1756-0500
Zeitschrift
BMC Research Notes
Schlüsselwörter
  • 570 Biowissenschaften
  • 570 Life sciences
Sprache
eng
Notes
Andrade, Miguel veröffentlicht unter: Andrade-Navarro, Miguel A.
Open access status
Open Access
Paginierung
Art. 253
Datum der Veröffentlichung
2016
Public URL
https://openscience.ub.uni-mainz.de/handle/20.500.12030/7038
Herausgeber
BioMed Central
Herausgeber URL
http://dx.doi.org/10.1186/s13104-016-2062-y
Datum der Datenerfassung
2022
Datum, an dem der Datensatz öffentlich gemacht wurde
2022
Zugang
Public
Titel
CABRA: cluster and annotate BLAST results algorithm
Ausgabe der Zeitschrift
9

Files

cabra__cluster_and_annotate_b-20220520131714935.pdf

Datenquelle: OPENSCIENCE.UB

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