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Article

mitoDataclean: A machine learning approach for the accurate identification of cross-contamination-derived tumor mitochondrial DNA mutations.

International journal of cancer - 15 May 2022

Su Liping, Guo Shanshan, Guo Wenjie, Ji Xiaoying, Liu Yang, Zhang Huanqin, Huang Qichao, Zhou Kaixiang, Guo Xu, Gu Xiwen, Xing Jinliang

Abstract excerpt

Next-generation sequencing (NGS) of mitochondrial DNA (mtDNA) has widespread applications in aging and cancer studies. However, cross-contamination of mtDNA constitutes a major concern. Previous methods for the detection of mtDNA contamination mainly focus on haplogroup-level phylogeny, but neglect haplotype-level differences, leading to limited sensitivity and accuracy. In our study, we present mitoDataclean, a...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 35001369
DOI: 10.1002/ijc.33927

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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