| Literature DB >> 22199392 |
Weichun Huang1, Leping Li, Jason R Myers, Gabor T Marth.
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.Entities:
Mesh:
Year: 2011 PMID: 22199392 PMCID: PMC3278762 DOI: 10.1093/bioinformatics/btr708
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937