Preparing your results

Our searching services are busy right now. Your search will reload in five seconds.

Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

PEMer: a computational framework with simulation-based error models for inferring genomic structural variants from massive paired-end sequencing data.

Personal-genomics endeavors, such as the 1000 Genomes project, are generating maps of genomic structural variants by analyzing ends of massively sequenced genome fragments. To process these we developed Paired-End Mapper (PEMer; This comprises an analysis pipeline, compatible with several next-generation sequencing platforms; simulation-based error models, yielding confidence-values for each structural variant; and a back-end database. The simulations demonstrated high structural variant reconstruction efficiency for PEMer's coverage-adjusted multi-cutoff scoring-strategy and showed its relative insensitivity to base-calling errors.

Pubmed ID: 19236709


  • Korbel JO
  • Abyzov A
  • Mu XJ
  • Carriero N
  • Cayting P
  • Zhang Z
  • Snyder M
  • Gerstein MB


Genome biology

Publication Data

January 19, 2009

Associated Grants

  • Agency: NCRR NIH HHS, Id: RR19895-02

Mesh Terms

  • Base Sequence
  • Computational Biology
  • Computer Simulation
  • Genome
  • Genomic Structural Variation
  • Genomics
  • Internet
  • Models, Genetic
  • Software