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High-performance deep learning pipeline predicts individuals in mixtures of DNA using sequencing data.

Briefings in bioinformatics - 5 Nov 2021

Phan Nam Nhut, Chattopadhyay Amrita, Lee Tsui-Ting, Yin Hsiang-I, Lu Tzu-Pin, Lai Liang-Chuan, Hwa Hsiao-Lin, Tsai Mong-Hsun, Chuang Eric Y

Abstract excerpt

In this study, we proposed a deep learning (DL) model for classifying individuals from mixtures of DNA samples using 27 short tandem repeats and 94 single nucleotide polymorphisms obtained through massively parallel sequencing protocol. The model was trained/tested/validated with sequenced data from 6 individuals and then evaluated using mixtures from forensic DNA samples. The model successfully identified both...

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PMID: 34368845
DOI: 10.1093/bib/bbab283

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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