TIGER: inferring DNA replication timing from whole-genome sequence data.
Journal
Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944
Informations de publication
Date de publication:
18 11 2021
18 11 2021
Historique:
received:
30
10
2020
revised:
19
02
2021
accepted:
08
03
2021
medline:
13
4
2023
pubmed:
12
3
2021
entrez:
11
3
2021
Statut:
ppublish
Résumé
Genomic DNA replicates according to a reproducible spatiotemporal program, with some loci replicating early in S phase while others replicate late. Despite being a central cellular process, DNA replication timing studies have been limited in scale due to technical challenges. We present TIGER (Timing Inferred from Genome Replication), a computational approach for extracting DNA replication timing information from whole genome sequence data obtained from proliferating cell samples. The presence of replicating cells in a biological specimen leads to non-uniform representation of genomic DNA that depends on the timing of replication of different genomic loci. Replication dynamics can hence be observed in genome sequence data by analyzing DNA copy number along chromosomes while accounting for other sources of sequence coverage variation. TIGER is applicable to any species with a contiguous genome assembly and rivals the quality of experimental measurements of DNA replication timing. It provides a straightforward approach for measuring replication timing and can readily be applied at scale. TIGER is available at https://github.com/TheKorenLab/TIGER. Supplementary data are available at Bioinformatics online.
Identifiants
pubmed: 33704387
pii: 6168116
doi: 10.1093/bioinformatics/btab166
pmc: PMC8913259
doi:
Substances chimiques
DNA
9007-49-2
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
4001-4005Subventions
Organisme : NIGMS NIH HHS
ID : DP2 GM123495
Pays : United States
Informations de copyright
© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.