Method

An integrative probabilistic model for identification of structural variation in sequencing data

Suzanne S Sindi^1,²^*, Selim Önal³, Luke C Peng³, Hsin-Ta Wu^1,³ and Benjamin J Raphael^1,³^*

* Corresponding authors: Suzanne S Sindi Suzanne_Sindi@Brown.edu - Benjamin J Raphael braphael@cs.brown.edu

¹ Center for Computational Molecular Biology, Brown University, Box 1910, Providence, RI 02912, USA

² Department for Molecular Biology, Cellular Biology and Biochemistry, Brown University, 185 Meeting St, Providence, RI 02912, USA

³ Department of Computer Science, Brown University, 115 Waterman St. Providence, RI 20912, USA

For all author emails, please log on.

Genome Biology 2012, 13:R22 doi:10.1186/gb-2012-13-3-r22

Published: 27 March 2012

Additional file 1:

An Appendix containing additional figures, discussion of MCMC properties and comparison of clustering methods.

Format: PDF Size: 572KB Download file

This file can be viewed with: Adobe Acrobat Reader