Display Settings:

Format

Send to:

Choose Destination

    Genome Biol. 2009 Feb 23;10(2):R23. [Epub ahead of print]

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

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

    Gene Expression Unit, European Molecular Biology Laboratory (EMBL), Meyerhofstr,, Heidelberg, 69117, Germany. korbel@embl.de.

    ABSTRACT: 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; http://sv.gersteinlab.org/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.

    PMID: 19236709 [PubMed - as supplied by publisher]

    PMCID: 2688268

    Supplemental Content

    Click here to read Click here to read