RT Journal Article SR Electronic T1 TelomereHunter: telomere content estimation and characterization from whole genome sequencing data JF bioRxiv FD Cold Spring Harbor Laboratory SP 065532 DO 10.1101/065532 A1 Lars Feuerbach A1 Lina Sieverling A1 Katharina I. Deeg A1 Philip Ginsbach A1 Barbara Hutter A1 Ivo Buchhalter A1 Paul A. Northcott A1 Peter Lichter A1 Stefan M. Pfister A1 David T.W. Jones A1 Karsten Rippe A1 Benedikt Brors YR 2016 UL http://biorxiv.org/content/early/2016/07/23/065532.abstract AB Summary: Telomere shortening plays an important role in cellular aging and tumor suppression. The availability of large next-generation sequencing cohorts of matched tumor and control samples enables a computational high-throughput analysis of changes in telomere content and composition in cancer. Here we describe a novel software tool specifically tailored for the processing of large data collections.Availability and Implementation: TelomereHunter is implemented as a python package. It is freely available online at: http://www.dkfz.de/en/applied-bioinformatics/telomerehunter/telomerehunter.html.