Managing high-density genotyping data with Gigwa

Next generation sequencing technologies enabled high-density genotyping for large numbers of samples. Nowadays SNP calling pipelines produce up to millions of such markers, but which need to be filtered in various ways according to the type of analyses. One of the main challenges still lies in the management of an increasing volume of genotyping files that are difficult to handle for many applications. Here, we provide a practical guide for efficiently managing large genomic variation data using Gigwa, a user-friendly, scalable and versatile application that may be deployed either remotely on web servers or on a local machine.

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Main Authors: Sempere, Guilhem, Larmande, Pierre, Rouard, Mathieu
Format: book_section biblioteca
Language:eng
Published: Springer
Online Access:http://agritrop.cirad.fr/600320/
http://agritrop.cirad.fr/600320/13/ID600320.pdf
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spelling dig-cirad-fr-6003202023-03-06T11:41:23Z http://agritrop.cirad.fr/600320/ http://agritrop.cirad.fr/600320/ Managing high-density genotyping data with Gigwa. Sempere Guilhem, Larmande Pierre, Rouard Mathieu. 2022. In : Plant Bioinformatics: methods and protocols. Edwards David (ed.). Cham : Springer-Humana Press, 415-427. (Methods in Molecular Biology, 2443, 2443) ISBN 978-1-0716-2066-3https://doi.org/10.1007/978-1-0716-2067-0_21 <https://doi.org/10.1007/978-1-0716-2067-0_21> Researchers Managing high-density genotyping data with Gigwa Sempere, Guilhem Larmande, Pierre Rouard, Mathieu eng 2022 Springer Plant Bioinformatics: methods and protocols Next generation sequencing technologies enabled high-density genotyping for large numbers of samples. Nowadays SNP calling pipelines produce up to millions of such markers, but which need to be filtered in various ways according to the type of analyses. One of the main challenges still lies in the management of an increasing volume of genotyping files that are difficult to handle for many applications. Here, we provide a practical guide for efficiently managing large genomic variation data using Gigwa, a user-friendly, scalable and versatile application that may be deployed either remotely on web servers or on a local machine. book_section info:eu-repo/semantics/bookPart Chapter info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/600320/13/ID600320.pdf text Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1007/978-1-0716-2067-0_21 10.1007/978-1-0716-2067-0_21 https://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=221586 info:eu-repo/semantics/altIdentifier/doi/10.1007/978-1-0716-2067-0_21 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1007/978-1-0716-2067-0_21
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country Francia
countrycode FR
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libraryname Biblioteca del CIRAD Francia
language eng
description Next generation sequencing technologies enabled high-density genotyping for large numbers of samples. Nowadays SNP calling pipelines produce up to millions of such markers, but which need to be filtered in various ways according to the type of analyses. One of the main challenges still lies in the management of an increasing volume of genotyping files that are difficult to handle for many applications. Here, we provide a practical guide for efficiently managing large genomic variation data using Gigwa, a user-friendly, scalable and versatile application that may be deployed either remotely on web servers or on a local machine.
format book_section
author Sempere, Guilhem
Larmande, Pierre
Rouard, Mathieu
spellingShingle Sempere, Guilhem
Larmande, Pierre
Rouard, Mathieu
Managing high-density genotyping data with Gigwa
author_facet Sempere, Guilhem
Larmande, Pierre
Rouard, Mathieu
author_sort Sempere, Guilhem
title Managing high-density genotyping data with Gigwa
title_short Managing high-density genotyping data with Gigwa
title_full Managing high-density genotyping data with Gigwa
title_fullStr Managing high-density genotyping data with Gigwa
title_full_unstemmed Managing high-density genotyping data with Gigwa
title_sort managing high-density genotyping data with gigwa
publisher Springer
url http://agritrop.cirad.fr/600320/
http://agritrop.cirad.fr/600320/13/ID600320.pdf
work_keys_str_mv AT sempereguilhem managinghighdensitygenotypingdatawithgigwa
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AT rouardmathieu managinghighdensitygenotypingdatawithgigwa
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