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BIR Pipeline for Preparation of Phylogenomic Data
Author(s) -
Surendra Kumar,
Anders K. Krabberød,
Ralf S. Neumann,
Katerina Michalickova,
Sen Zhao,
Xiaoli Zhang,
Kamran ShalchianTabrizi
Publication year - 2015
Publication title -
evolutionary bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.502
H-Index - 32
ISSN - 1176-9343
DOI - 10.4137/ebo.s10189
Subject(s) - pipeline (software) , identification (biology) , phylogenetic tree , inference , phylogenomics , annotation , computer science , alignment free sequence analysis , sequence (biology) , tree (set theory) , genome , computational biology , data mining , sequence alignment , multiple sequence alignment , gene annotation , gene , biology , artificial intelligence , genetics , clade , mathematical analysis , botany , mathematics , peptide sequence , programming language
We present a pipeline named BIR (Blast, Identify and Realign) developed for phylogenomic analyses. BIR is intended for the identification of gene sequences applicable for phylogenomic inference. The pipeline allows users to apply their own manually curated sequence alignments (seed) in search for homologous genes in sequence databases and available genomes. BIR automatically adds the identified sequences from these databases to the seed alignments and reconstruct a phylogenetic tree from each. The BIR pipeline is an efficient tool for the identification of orthologous gene copies because it expands user-defined sequence alignments and conducts massive parallel phylogenetic reconstruction. The application is also particularly useful for large-scale sequencing projects that require management of a large number of single-gene alignments for gene comparison, functional annotation, and evolutionary analyses.

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