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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