Improved individual identification in DNA mixtures of unrelated or related contributors through massively parallel sequencing-Reference-Cited by-同舟云学术

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Improved individual identification in DNA mixtures of unrelated or related contributors through massively parallel sequencing

Published:2024-09 Issue: Volume:72 Page:103078
ISSN:1872-4973
Container-title:Forensic Science International: Genetics
language:en
Short-container-title:Forensic Science International: Genetics

Author:

Liu Zhiyong,Wu Enlin,Li Ran,Liu Jiajun,Zang Yu,Cong Bin,Wu Riga,Xie Bo,Sun Hongyu

Funder

Natural Science Foundation of Guangdong Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference42 articles.

1. A review of probabilistic genotyping systems: EuroForMix, DNAStatistX and STRmix™;Gill;Genes,2021

2. Application of a probabilistic genotyping software to MPS mixture STR data is supported by similar trends in LRs compared with CE data;Benschop;Forensic Sci. Int. Genet.,2021

3. Interpreting mixture profiles: comparison between precision ID GlobalFiler™ NGS STR Panel v2 and traditional methods;Ragazzo;Genes,2020

4. Improved pairwise kinship analysis using massively parallel sequencing;Li;Forensic Sci. Int. Genet.,2019

5. High-resolution genotyping of 58 STRs in 635 Northern Han Chinese with MiSeq FGx ® Forensic Genomics System;Guo;Forensic Sci. Int. Genet.,2023

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