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