AutoMap is a high performance homozygosity mapping tool using next-generation sequencing data

Homozygosity mapping is a useful tool for identifying candidate mutations in recessive conditions, however application to next generation sequencing data has been sub-optimal. Here, the authors present AutoMap, which efficiently identifies runs of homozygosity in whole exome/genome sequencing data.

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Autores principales:	Mathieu Quinodoz, Virginie G. Peter, Nicola Bedoni, Béryl Royer Bertrand, Katarina Cisarova, Arash Salmaninejad, Neda Sepahi, Raquel Rodrigues, Mehran Piran, Majid Mojarrad, Alireza Pasdar, Ali Ghanbari Asad, Ana Berta Sousa, Luisa Coutinho Santos, Andrea Superti-Furga, Carlo Rivolta
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/e12a3800741f47d7be5c3348cd65ae5a
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spelling	oai:doaj.org-article:e12a3800741f47d7be5c3348cd65ae5a2021-12-02T14:18:54ZAutoMap is a high performance homozygosity mapping tool using next-generation sequencing data10.1038/s41467-020-20584-42041-1723https://doaj.org/article/e12a3800741f47d7be5c3348cd65ae5a2021-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-20584-4https://doaj.org/toc/2041-1723Homozygosity mapping is a useful tool for identifying candidate mutations in recessive conditions, however application to next generation sequencing data has been sub-optimal. Here, the authors present AutoMap, which efficiently identifies runs of homozygosity in whole exome/genome sequencing data.Mathieu QuinodozVirginie G. PeterNicola BedoniBéryl Royer BertrandKatarina CisarovaArash SalmaninejadNeda SepahiRaquel RodriguesMehran PiranMajid MojarradAlireza PasdarAli Ghanbari AsadAna Berta SousaLuisa Coutinho SantosAndrea Superti-FurgaCarlo RivoltaNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-7 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Mathieu Quinodoz Virginie G. Peter Nicola Bedoni Béryl Royer Bertrand Katarina Cisarova Arash Salmaninejad Neda Sepahi Raquel Rodrigues Mehran Piran Majid Mojarrad Alireza Pasdar Ali Ghanbari Asad Ana Berta Sousa Luisa Coutinho Santos Andrea Superti-Furga Carlo Rivolta AutoMap is a high performance homozygosity mapping tool using next-generation sequencing data
description	Homozygosity mapping is a useful tool for identifying candidate mutations in recessive conditions, however application to next generation sequencing data has been sub-optimal. Here, the authors present AutoMap, which efficiently identifies runs of homozygosity in whole exome/genome sequencing data.
format	article
author	Mathieu Quinodoz Virginie G. Peter Nicola Bedoni Béryl Royer Bertrand Katarina Cisarova Arash Salmaninejad Neda Sepahi Raquel Rodrigues Mehran Piran Majid Mojarrad Alireza Pasdar Ali Ghanbari Asad Ana Berta Sousa Luisa Coutinho Santos Andrea Superti-Furga Carlo Rivolta
author_facet	Mathieu Quinodoz Virginie G. Peter Nicola Bedoni Béryl Royer Bertrand Katarina Cisarova Arash Salmaninejad Neda Sepahi Raquel Rodrigues Mehran Piran Majid Mojarrad Alireza Pasdar Ali Ghanbari Asad Ana Berta Sousa Luisa Coutinho Santos Andrea Superti-Furga Carlo Rivolta
author_sort	Mathieu Quinodoz
title	AutoMap is a high performance homozygosity mapping tool using next-generation sequencing data
title_short	AutoMap is a high performance homozygosity mapping tool using next-generation sequencing data
title_full	AutoMap is a high performance homozygosity mapping tool using next-generation sequencing data
title_fullStr	AutoMap is a high performance homozygosity mapping tool using next-generation sequencing data
title_full_unstemmed	AutoMap is a high performance homozygosity mapping tool using next-generation sequencing data
title_sort	automap is a high performance homozygosity mapping tool using next-generation sequencing data
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/e12a3800741f47d7be5c3348cd65ae5a
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AutoMap is a high performance homozygosity mapping tool using next-generation sequencing data

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