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Paper Details

A bioinformatics pipeline for estimating mitochondrial DNA copy number and heteroplasmy levels from whole genome sequencing data.
NAR Genom Bioinform
12
2022
CN, DNA, Mitochondrial DNA, Mitochondrial DNA (mtDNA) variants, Mitochondrial diseases, chrM, circularized chrM, consensus chrM sequence, heteroplasmic variants, human, mitochondrial DNA, mitochondrial dysfunction, mitochondrial genome, mitochondrial variants, mtDNA, non-homopolymer regions, nuclear or, nuclear-encoded mitochondrial sequences
Author NameAffiliation
Eric BoerwinkleSchool of Public Health, The University of Texas Health Science Center at Houston
Eric BoerwinkleSchool of Public Health, The University of Texas Health Science Center at Houston
Kent D TaylorThe Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-university of california los angeles Medical Center
Jerome I RotterThe Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-university of california los angeles Medical Center
Stephen S RichCenter for Public Health Genomics, University of Virginia
Megan L GroveSchool of Public Health, The University of Texas Health Science Center at Houston
Nathan PankratzUniversity of Minnesota
Nathan PankratzUniversity of Minnesota
Chunyu LiuBoston University School of Medicine
Chunyu LiuBoston University School of Medicine
Dan E ArkingMcKusick-Nathans Institute, Johns Hopkins University School of Medicine
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Release 1.2