2014
DOI: 10.1093/bioinformatics/btu137
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The Biological Reference Repository (BioR): a rapid and flexible system for genomics annotation

Abstract: Motivation: The Biological Reference Repository (BioR) is a toolkit for annotating variants. BioR stores public and user-specific annotation sources in indexed JSON-encoded flat files (catalogs). The BioR toolkit provides the functionality to combine and retrieve annotation from these catalogs via the command-line interface. Several catalogs from commonly used annotation sources and instructions for creating user-specific catalogs are provided. Commands from the toolkit can be combined with other UNIX commands… Show more

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Cited by 72 publications
(58 citation statements)
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“…Mutation analysis was performed by using Ion Reporter Software v4.4 (Thermo-Fisher), and further data curation was performed by using the Biological Reference Repository (BioR, Mayo Clinic, Rochester, MN). 26 27 ; and PolyPhen-2 (Harvard Medical School). 28 Germ line variants were filtered out by comparing each tumor sample with its germ line counterpart.…”
Section: Targeted Sequencingmentioning
confidence: 99%
“…Mutation analysis was performed by using Ion Reporter Software v4.4 (Thermo-Fisher), and further data curation was performed by using the Biological Reference Repository (BioR, Mayo Clinic, Rochester, MN). 26 27 ; and PolyPhen-2 (Harvard Medical School). 28 Germ line variants were filtered out by comparing each tumor sample with its germ line counterpart.…”
Section: Targeted Sequencingmentioning
confidence: 99%
“…Variants that occurred at locations present in dbSNP (build137), BGI 62 or ESP6500 (http://evs.gs.washington.edu/EVS), 1,000 genome 63,64 databases were removed from consideration. Annotation variant analysis was carried out with the BioR variant annotation platform 65 against Ensembl v.70 and consequence prediction using SNPeffect (v.2.0.5d) and VEP (v.2.7).…”
Section: Methodsmentioning
confidence: 99%
“…First, orthologues between the annotated and sample genome were identified by predicting genes (using Prodigal v2.6), and the resulting amino acid sequences were compared using BLASTϩ v2.2.26 (27). BioR v2.4.1 was used to annotate the sample genomes and identify orthologous genes (28). These genes were used to assemble the nucleotide version of a given gene for all samples.…”
Section: Methodsmentioning
confidence: 99%