Sempéré G. auteur aut IRD Larmande Pierre auteur aut IRD Rouard M. auteur aut IRD text bookSection eng text/pdf born digital access 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. specialized 076AMEPLA04 122APPLIC 020BIOCHI Edwards D. ed. edt IRD 2443 415-427 New York Springer - Humana Press 2022 https://www.documentation.ird.fr/hor/fdi:010084868 10.1007/978-1-0716-2067-0_21 978-1-07-162066-3 [F B010084868] https://www.documentation.ird.fr/hor/fdi:010084868 https://www.documentation.ird.fr/intranet/publi/2022-08/010084868.pdf Accès réservé (Intranet de l'IRD) IRD - Base Horizon / Pleins textes 2022-04-28 2025-02-24 fdi:010084868 fre