Roche logoThis article is part of a special issue on exome sequencing, and has been made free to access thanks to support from Roche Nimblegen.

Highly Accessed Review

Computational and statistical approaches to analyzing variants identified by exome sequencing

Nathan O Stitziel1,2, Adam Kiezun2,3 and Shamil Sunyaev2,3*

1 Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA

2 Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA

3 Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA

For all author emails, please log on.

Genome Biology 2011, 12:227 doi:10.1186/gb-2011-12-9-227

Published: 14 September 2011

Additional files

Additional file 1:

Additional materials. A table of available statistical methods for analyzing variants discovered in sequencing studies [86-94].

Format: DOCX Size: 17KB Download file