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

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

doi:10.1101/065532

bioRxiv · 10.1101/065532

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

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

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Abstract

SummaryTelomere 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.\n\nAvailability and ImplementationTelomereHunter is implemented as a python package. It is freely available online at: http://www.dkfz.de/en/applied-bioinformatics/telomerehunter/telomerehunter.html.

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Lars Feuerbach, Lina Sieverling, Katharina Deeg, Philip Ginsbach, Barbara Hutter, Ivo Buchhalter, Paul A Northcott, Peter Lichter, Stefan M Pfister, David TW Jones, Karsten Rippe, Benedikt Brors. 2016-07-23. TelomereHunter: telomere content estimation and characterization from whole genome sequencing data. https://doi.org/10.1101/065532

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