Sempéré G., Larmande Pierre, Rouard M. (2022). Managing high-density genotyping data with Gigwa. In :
Edwards D. (ed.). Plant bioinformatics : methods and protocols. New York : Springer - Humana Press, 2443, 415-427. (Methods in Molecular Biology). ISBN 978-1-07-162066-3. ISSN 1064-3745.
Titre du document
Managing high-density genotyping data with Gigwa
Année de publication
2022
Type de document
Partie d'ouvrage
Auteurs
Sempéré G., Larmande Pierre, Rouard M.
In
Edwards D. (ed.), Plant bioinformatics : methods and protocols
Source
New York : Springer - Humana Press, 2022,
415-427 (Methods in Molecular Biology). ISBN 978-1-07-162066-3 ISSN 1064-3745
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.
Plan de classement
Biochimie [020BIOCHI]
;
Amélioration génétique [076AMEPLA04]
;
Applications diverses [122APPLIC]
