title: ART: a next-generation sequencing read simulator.
abstract: 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.
  
  
  BACKGROUND
  Both source and binary software packages are available at http://www.niehs.nih.gov/research/resources/software/art.
authors.affiliation: Biostatistics Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA. weichun.huang@nih.gov
authors.forename: Weichun
authors.initials: W
authors.lastname: Huang
authors.forename: Leping
authors.initials: L
authors.lastname: Li
authors.forename: Jason R
authors.initials: JR
authors.lastname: Myers
authors.forename: Gabor T
authors.initials: GT
authors.lastname: Marth
mesh_terms: D002886:Chromosomes, Human, Pair 17 / Q000235:genetics; D014644:Genetic Variation; D059014:High-Throughput Nucleotide Sequencing; D006801:Humans; D017422:Sequence Analysis, DNA; D012984:Software