icHET: interactive visualization of cytoplasmic heteroplasmy

Abstract Summary 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 interactiv...

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Veröffentlicht in:Bioinformatics 2019-11, Vol.35 (21), p.4411-4412
Hauptverfasser: Phan, Vinhthuy, Pham, Diem-Trang, Melton, Caroline, Ramsey, Adam J, Daigle, Bernie J, Mandel, Jennifer R
Format: Artikel
Sprache:eng
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Zusammenfassung:Abstract Summary 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. Availability and implementation The software is available at https://github.com/vtphan/HeteroplasmyWorkflow. Supplementary information Supplementary data are available at Bioinformatics online.
ISSN:1367-4803
1460-2059
1367-4811
DOI:10.1093/bioinformatics/btz300