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InGAP: an integrated next-generation genome analysis pipeline.


ABSTRACT: SUMMARY: We develop a novel mining pipeline, Integrative Next-generation Genome Analysis Pipeline (inGAP), guided by a Bayesian principle to detect single nucleotide polymorphisms (SNPs), insertion/deletions (indels) by comparing high-throughput pyrosequencing reads with a reference genome of related organisms. inGAP can be applied to the mapping of both Roche/454 and Illumina reads with no restriction of read length. Experiments on simulated and experimental data show that this pipeline can achieve overall 97% accuracy in SNP detection and 94% in the finding of indels. All the detected SNPs/indels can be further evaluated by a graphical editor in our pipeline. inGAP also provides functions of multiple genomes comparison and assistance of bacterial genome assembly. AVAILABILITY: inGAP is available at http://sites.google.com/site/nextgengenomics/ingap

SUBMITTER: Qi J 

PROVIDER: S-EPMC2796817 | biostudies-other | 2010 Jan

REPOSITORIES: biostudies-other

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inGAP: an integrated next-generation genome analysis pipeline.

Qi Ji J   Zhao Fangqing F   Buboltz Anne A   Schuster Stephan C SC  

Bioinformatics (Oxford, England) 20091030 1


<h4>Summary</h4>We develop a novel mining pipeline, Integrative Next-generation Genome Analysis Pipeline (inGAP), guided by a Bayesian principle to detect single nucleotide polymorphisms (SNPs), insertion/deletions (indels) by comparing high-throughput pyrosequencing reads with a reference genome of related organisms. inGAP can be applied to the mapping of both Roche/454 and Illumina reads with no restriction of read length. Experiments on simulated and experimental data show that this pipeline  ...[more]

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