title: CABRA: Cluster and Annotate Blast Results Algorithm.
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.
  
  
  RESULTS
  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.
authors.affiliation: Faculty of Biology, JGU Mainz, Gresemundweg, 2, 55128, Mainz, Germany. munoz@uni-mainz.com.|Institute of Molecular Biology, Ackermannweg 4, 55128, Mainz, Germany. munoz@uni-mainz.com.
authors.forename: Pablo
authors.initials: P
authors.lastname: Mier
authors.affiliation: Faculty of Biology, JGU Mainz, Gresemundweg, 2, 55128, Mainz, Germany.|Institute of Molecular Biology, Ackermannweg 4, 55128, Mainz, Germany.
authors.forename: Miguel A
authors.initials: MA
authors.lastname: Andrade-Navarro
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D016000:Cluster Analysis; D020407:Internet; D016415:Sequence Alignment; D017386:Sequence Homology, Amino Acid; D014584:User-Computer Interface
keywords: BLAST search; Clustering; Computational biology; Web tool