Accurate human microsatellite genotypes from high-throughput resequencing data using informed error profiles

Nucleic Acids Res. 2013 Jan 7;41(1):e32. doi: 10.1093/nar/gks981. Epub 2012 Oct 22.

Abstract

Repetitive sequences are biologically and clinically important because they can influence traits and disease, but repeats are challenging to analyse using short-read sequencing technology. We present a tool for genotyping microsatellite repeats called RepeatSeq, which uses Bayesian model selection guided by an empirically derived error model that incorporates sequence and read properties. Next, we apply RepeatSeq to high-coverage genomes from the 1000 Genomes Project to evaluate performance and accuracy. The software uses common formats, such as VCF, for compatibility with existing genome analysis pipelines. Source code and binaries are available at http://github.com/adaptivegenome/repeatseq.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bayes Theorem
  • Genome, Human
  • Genomics / methods
  • Genotype
  • Genotyping Techniques*
  • High-Throughput Nucleotide Sequencing
  • Humans
  • Microsatellite Repeats*
  • Software*