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

Jan O Korbel123*, Alexej Abyzov3, Xinmeng Jasmine Mu4, Nicholas Carriero5, Philip Cayting3, Zhengdong Zhang3, Michael Snyder34 and Mark B Gerstein3456

Author Affiliations

1 Gene Expression Unit, European Molecular Biology Laboratory (EMBL), Meyerhofstr., Heidelberg, 69117, Germany

2 EMBL Outstation Hinxton, EMBL-European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK

3 Molecular Biophysics and Biochemistry Department, Yale University, Whitney Ave, New Haven, CT 06520, USA

4 Department of Molecular, Cellular, and Developmental Biology, Yale University, Whitney Ave, New Haven, CT 06520, USA

5 Department of Computer Science, Yale University, Prospect Street, New Haven, CT 06511, USA

6 Program in Computational Biology and Bioinformatics, Yale University, Whitney Ave, New Haven, CT 06520, USA

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Genome Biology 2009, 10:R23  doi:10.1186/gb-2009-10-2-r23

Published: 23 February 2009

Additional files

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Supplementary methods, Figures, and Tables.

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