@article{fdi:010066961,
  title = {{G}igwa - {G}enotype investigator for genome-wide analyses [+ erratum]},
  author = {{S}emp{\'e}r{\'e}, {G}. and {P}hilippe, {F}lorian and {D}ereeper, {A}lexis and {R}uiz, {M}. and {S}arah, {G}. and {L}armande, {P}ierre},
  editor = {},
  language = {{ENG}},
  abstract = {{B}ackground: {E}xploring the structure of genomes and analyzing their evolution is essential to understanding the ecological adaptation of organisms. {H}owever, with the large amounts of data being produced by next-generation sequencing, computational challenges arise in terms of storage, search, sharing, analysis and visualization. {T}his is particularly true with regards to studies of genomic variation, which are currently lacking scalable and user-friendly data exploration solutions. {D}escription: {H}ere we present {G}igwa, a web-based tool that provides an easy and intuitive way to explore large amounts of genotyping data by filtering it not only on the basis of variant features, including functional annotations, but also on genotype patterns. {T}he data storage relies on {M}ongo{DB}, which offers good scalability properties. {G}igwa can handle multiple databases and may be deployed in either single-or multi-user mode. {I}n addition, it provides a wide range of popular export formats. {C}onclusions: {T}he {G}igwa application is suitable for managing large amounts of genomic variation data. {I}ts user-friendly web interface makes such processing widely accessible. {I}t can either be simply deployed on a workstation or be used to provide a shared data portal for a given community of researchers.},
  keywords = {{G}enomic variations ; {VCF} ; {H}ap{M}ap ; {N}o{SQL} ; {M}ongo{DB} ; {SNP} ; {INDEL} ; {W}eb interface},
  booktitle = {},
  journal = {{G}igascience},
  volume = {5},
  numero = {},
  pages = {art. 25 [9 + erratum : vol. 5, art. no 48]},
  ISSN = {2047-217{X}},
  year = {2016},
  DOI = {10.1186/s13742-016-0131-8},
  URL = {https://www.documentation.ird.fr/hor/fdi:010066961},
}