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Results: 5

1.

A method for finding consensus breakpoints in the cancer genome from copy number data.

Toloşi L, Theißen J, Halachev K, Hero B, Berthold F, Lengauer T.

Bioinformatics. 2013 Jul 15;29(14):1793-800. doi: 10.1093/bioinformatics/btt300. Epub 2013 May 28.

2.

EpiExplorer: live exploration and global analysis of large epigenomic datasets.

Halachev K, Bast H, Albrecht F, Lengauer T, Bock C.

Genome Biol. 2012 Oct 3;13(10):R96. doi: 10.1186/gb-2012-13-10-r96.

3.

Analyzing epigenome data in context of genome evolution and human diseases.

Feuerbach L, Halachev K, Assenov Y, Müller F, Bock C, Lengauer T.

Methods Mol Biol. 2012;856:431-67. doi: 10.1007/978-1-61779-585-5_18.

PMID:
22399470
4.

Web-based analysis of (Epi-) genome data using EpiGRAPH and Galaxy.

Bock C, Von Kuster G, Halachev K, Taylor J, Nekrutenko A, Lengauer T.

Methods Mol Biol. 2010;628:275-96. doi: 10.1007/978-1-60327-367-1_15.

PMID:
20238087
5.

EpiGRAPH: user-friendly software for statistical analysis and prediction of (epi)genomic data.

Bock C, Halachev K, Büch J, Lengauer T.

Genome Biol. 2009 Feb 10;10(2):R14. doi: 10.1186/gb-2009-10-2-r14.

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