icHET: interactive visualization of cytoplasmic heteroplasmy.
Journal
Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944
Informations de publication
Date de publication:
01 11 2019
01 11 2019
Historique:
received:
11
07
2018
revised:
07
02
2019
accepted:
20
04
2019
pubmed:
1
5
2019
medline:
1
7
2020
entrez:
1
5
2019
Statut:
ppublish
Résumé
Although heteroplasmy has been studied extensively in animal systems, there is a lack of tools for analyzing, exploring and visualizing heteroplasmy at the genome-wide level in other taxonomic systems. We introduce icHET, which is a computational workflow that produces an interactive visualization that facilitates the exploration, analysis and discovery of heteroplasmy across multiple genomic samples. icHET works on short reads from multiple samples from any organism with an organellar reference genome (mitochondrial or plastid) and a nuclear reference genome. The software is available at https://github.com/vtphan/HeteroplasmyWorkflow. Supplementary data are available at Bioinformatics online.
Identifiants
pubmed: 31038667
pii: 5481955
doi: 10.1093/bioinformatics/btz300
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
4411-4412Informations de copyright
© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.