@incollection{fdi:010084868,
  title = {{M}anaging high-density genotyping data with {G}igwa},
  author = {{S}emp{\'e}r{\'e}, {G}. and {L}armande, {P}ierre and {R}ouard, {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{N}ext generation sequencing technologies enabled high-density genotyping for large numbers of samples. {N}owadays {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. {O}ne of the main challenges still lies in the management of an increasing volume of genotyping files that are difficult to handle for many applications. {H}ere, we provide a practical guide for efficiently managing large genomic variation data using {G}igwa, a user-friendly, scalable and versatile application that may be deployed either remotely on web servers or on a local machine.},
  keywords = {},
  booktitle = {{P}lant bioinformatics : methods and protocols},
  volume = {2443},
  numero = {},
  pages = {415--427},
  address = {{N}ew {Y}ork},
  publisher = {{S}pringer - {H}umana {P}ress},
  series = {{M}ethods in {M}olecular {B}iology},
  year = {2022},
  DOI = {10.1007/978-1-0716-2067-0_21},
  ISBN = {978-1-07-162066-3},
  ISSN = {1064-3745},
  URL = {https://www.documentation.ird.fr/hor/fdi:010084868},
}