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TelomereHunter: telomere content estimation and characterization from whole genome sequencing data

By Lars Feuerbach, Lina Sieverling, Katharina I. Deeg, Philip Ginsbach, Barbara Hutter, Ivo Buchhalter, Paul A Northcott, Peter Lichter, Stefan M. Pfister, David TW Jones, Karsten Rippe, Benedikt Brors

Posted 23 Jul 2016
bioRxiv DOI: 10.1101/065532 (published DOI: 10.1186/s12859-019-2851-0)

Abstract 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: www.dkfz.de/en/applied-bioinformatics/telomerehunter/telomerehunter.html.

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