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 Feuerbach, Lars
A1 Sieverling, Lina
A1 Deeg, Katharina I.
A1 Ginsbach, Philip
A1 Hutter, Barbara
A1 Buchhalter, Ivo
A1 Northcott, Paul A.
A1 Lichter, Peter
A1 Pfister, Stefan M.
A1 Jones, David T.W.
A1 Rippe, Karsten
A1 Brors, Benedikt
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.