Dataset Information
ART: a next-generation sequencing read simulator.
Ontology highlight
ABSTRACT: Unlabelled
ART is a set of simulation tools that generate synthetic next-generation sequencing reads. This functionality is essential for testing and benchmarking tools for next-generation sequencing data analysis including read alignment, de novo assembly and genetic variation discovery. ART generates simulated sequencing reads by emulating the sequencing process with built-in, technology-specific read error models and base quality value profiles parameterized empirically in large sequencing datasets. We currently support all three major commercial next-generation sequencing platforms: Roche's 454, Illumina's Solexa and Applied Biosystems' SOLiD. ART also allows the flexibility to use customized read error model parameters and quality profiles.Availability
Both source and binary software packages are available at http://www.niehs.nih.gov/research/resources/software/art.
SUBMITTER: Huang W
PROVIDER: S-EPMC3278762 | biostudies-literature | 2012 Feb
REPOSITORIES: biostudies-literature
Publications
ART: a next-generation sequencing read simulator.
Bioinformatics (Oxford, England) 20111223 4
<h4>Unlabelled</h4>ART is a set of simulation tools that generate synthetic next-generation sequencing reads. This functionality is essential for testing and benchmarking tools for next-generation sequencing data analysis including read alignment, de novo assembly and genetic variation discovery. ART generates simulated sequencing reads by emulating the sequencing process with built-in, technology-specific read error models and base quality value profiles parameterized empirically in large seque ...[more]
