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A protocol for applying a population-specific reference genome assembly to population genetics and medical studies
With a growing number of available de novo sequenced genomes, protocols for their applications to population genetics will benefit our understanding of the human genome. Here we detail analytic steps to apply an example de novo reference genome to map and detect variants of short-read sequences from...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9157554/ https://www.ncbi.nlm.nih.gov/pubmed/35664259 http://dx.doi.org/10.1016/j.xpro.2022.101440 |
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author | Deng, Lian Xie, Bo Wang, Yimin Zhang, Xiaoxi Xu, Shuhua |
author_facet | Deng, Lian Xie, Bo Wang, Yimin Zhang, Xiaoxi Xu, Shuhua |
author_sort | Deng, Lian |
collection | PubMed |
description | With a growing number of available de novo sequenced genomes, protocols for their applications to population genetics will benefit our understanding of the human genome. Here we detail analytic steps to apply an example de novo reference genome to map and detect variants of short-read sequences from corresponding populations and to discover variants of disease-relevant genes. Using this protocol, we can improve variant discovery, better investigate population-specific genome properties, and evaluate the potential of sequenced genomes in medical studies. For complete details on the use and execution of this protocol, please refer to Lou et al. (2022). |
format | Online Article Text |
id | pubmed-9157554 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-91575542022-06-02 A protocol for applying a population-specific reference genome assembly to population genetics and medical studies Deng, Lian Xie, Bo Wang, Yimin Zhang, Xiaoxi Xu, Shuhua STAR Protoc Protocol With a growing number of available de novo sequenced genomes, protocols for their applications to population genetics will benefit our understanding of the human genome. Here we detail analytic steps to apply an example de novo reference genome to map and detect variants of short-read sequences from corresponding populations and to discover variants of disease-relevant genes. Using this protocol, we can improve variant discovery, better investigate population-specific genome properties, and evaluate the potential of sequenced genomes in medical studies. For complete details on the use and execution of this protocol, please refer to Lou et al. (2022). Elsevier 2022-05-27 /pmc/articles/PMC9157554/ /pubmed/35664259 http://dx.doi.org/10.1016/j.xpro.2022.101440 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Deng, Lian Xie, Bo Wang, Yimin Zhang, Xiaoxi Xu, Shuhua A protocol for applying a population-specific reference genome assembly to population genetics and medical studies |
title | A protocol for applying a population-specific reference genome assembly to population genetics and medical studies |
title_full | A protocol for applying a population-specific reference genome assembly to population genetics and medical studies |
title_fullStr | A protocol for applying a population-specific reference genome assembly to population genetics and medical studies |
title_full_unstemmed | A protocol for applying a population-specific reference genome assembly to population genetics and medical studies |
title_short | A protocol for applying a population-specific reference genome assembly to population genetics and medical studies |
title_sort | protocol for applying a population-specific reference genome assembly to population genetics and medical studies |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9157554/ https://www.ncbi.nlm.nih.gov/pubmed/35664259 http://dx.doi.org/10.1016/j.xpro.2022.101440 |
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