BMC Bioinformatics

official impact factor 3.03

Open Access Highly Access Methodology article

Empirical methods for controlling false positives and estimating confidence in ChIP-Seq peaks

David A Nix1*, Samir J Courdy1 and Kenneth M Boucher2

Author Affiliations

1 Huntsman Cancer Institute, Departments of Research Informatics, University of Utah, Salt Lake City, Utah, 84105, USA

2 Oncological Sciences, University of Utah, Salt Lake City, Utah, 84105, USA

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BMC Bioinformatics 2008, 9:523 doi:10.1186/1471-2105-9-523

Published: 5 December 2008

Additional files

Additional File 1:

A variety of html documents from the USeq web site detailing the available applications, their best usage, output file type descriptions, command line menus, etc.

Format: ZIP Size: 2.5MB Download file

Open Data