<it>BARCRAWL </it>and <it>BARTAB</it>: software tools for the design and implementation of barcoded primers for highly multiplexed DNA sequencing

<p>Abstract</p> <p>Background</p> <p>Advances in automated DNA sequencing technology have greatly increased the scale of genomic and metagenomic studies. An increasingly popular means of increasing project throughput is by multiplexing samples during the sequencing phas...

Full description

Bibliographic Details
Main Author: Frank Daniel N
Format: Article
Language:English
Published: BMC 2009-10-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/10/362
Description
Summary:<p>Abstract</p> <p>Background</p> <p>Advances in automated DNA sequencing technology have greatly increased the scale of genomic and metagenomic studies. An increasingly popular means of increasing project throughput is by multiplexing samples during the sequencing phase. This can be achieved by covalently linking short, unique "barcode" DNA segments to genomic DNA samples, for instance through incorporation of barcode sequences in PCR primers. Although several strategies have been described to insure that barcode sequences are unique and robust to sequencing errors, these have not been integrated into the overall primer design process, thus potentially introducing bias into PCR amplification and/or sequencing steps.</p> <p>Results</p> <p><it>Barcrawl </it>is a software program that facilitates the design of barcoded primers, for multiplexed high-throughput sequencing. The program <it>bartab </it>can be used to deconvolute DNA sequence datasets produced by the use of multiple barcoded primers. This paper describes the functions implemented by <it>barcrawl </it>and <it>bartab </it>and presents a proof-of-concept case study of both programs in which barcoded rRNA primers were designed and validated by high-throughput sequencing.</p> <p>Conclusion</p> <p><it>Barcrawl </it>and <it>bartab </it>can benefit researchers who are engaged in metagenomic projects that employ multiplexed specimen processing. The source code is released under the GNU general public license and can be accessed at <url>http://www.phyloware.com</url>.</p>
ISSN:1471-2105