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Telomerecat: a ploidy-agnostic method for estimating telomere length from whole genome sequencing data

Abstract:

Telomere length is a risk factor in disease and the dynamics of telomere length are crucial to our understanding of cell replication and vitality. The proliferation of whole genome sequencing represents an unprecedented opportunity to glean new insights into telomere biology on a previously unimaginable scale. To this end, a number of approaches for estimating telomere length from whole-genome sequencing data have been proposed. Here we present Telomerecat, a novel approach to the estimation ...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's Version

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Publisher copy:
10.1038/s41598-017-14403-y

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Role:
Author
ORCID:
0000-0002-7876-7338

Contributors

Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
NDORMS
Subgroup:
KIR
Role:
Contibutor
Wellcome Trust More from this funder
Publisher:
Springer Nature Publisher's website
Journal:
Scientific reports Journal website
Volume:
8
Issue:
1
Pages:
Article: 1300
Publication date:
2018-01-22
Acceptance date:
2017-09-22
DOI:
EISSN:
2045-2322
Pubs id:
pubs:822786
URN:
uri:cd9b1513-18af-415a-a4f9-8e1b240b63c6
UUID:
uuid:cd9b1513-18af-415a-a4f9-8e1b240b63c6
Local pid:
pubs:822786
Language:
English

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