Telomerecat: A Ploidy-Agnostic Method For Estimating Telomere Length From Whole Genome Sequencing Data
James H. R. Farmery, Mike L. Smith, NIHR BioResource - Rare Diseases, Aarnoud P. Huissoon, Abigail Furnell, Adam J. Mead, Adam P. Levine, Adnan Yousaf Manzur, Adrian James Thrasher, Alan J. Greenhalgh, Alasdair P. J. Parker, Alba Sanchis‐Juan, Alex Richter, Alice Gardham, Allan Lawrie, , Emma L. Wakeling
Telomerecat estimates telomere length from whole-genome sequencing data without requiring prior knowledge of ploidy, showing good performance and detecting expected patterns in various data types.
Scientific Reports · Jan 16, 2018Peer-reviewedBioinformatics