The Biological Reference Repository (BioR): a rapid and flexible system for genomics annotation

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-l...

Full description

Saved in:
Bibliographic Details
Published in:Bioinformatics (Oxford, England) Vol. 30; no. 13; pp. 1920 - 1922
Main Authors: Kocher, Jean-Pierre A, Quest, Daniel J, Duffy, Patrick, Meiners, Michael A, Moore, Raymond M, Rider, David, Hossain, Asif, Hart, Steven N, Dinu, Valentin
Format: Journal Article
Language:English
Published: England Oxford University Press 01-07-2014
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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 for advanced annotation processing. We also provide instructions for the development of custom annotation pipelines. The package is implemented in Java and makes use of external tools written in Java and Perl. The toolkit can be executed on Mac OS X 10.5 and above or any Linux distribution. The BioR application, quickstart, and user guide documents and many biological examples are available at http://bioinformaticstools.mayo.edu.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors.
Associate Editor: John Hancock
ISSN:1367-4803
1367-4811
DOI:10.1093/bioinformatics/btu137