@article{fdi:010085405,
  title = {{G}e{M}o : a web-based platform for the visualization and curation of genome ancestry mosaics},
  author = {{S}ummo, {M}. and {C}omte, {A}urore and {M}artin, {G}. and {P}erelle, {P}. and {W}eitz, {E}. {M}. and {D}roc, {G}. and {R}ouard, {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n silico chromosome painting is a technique by which contributions of distinct genetic groups are represented along chromosomes of hybrid individuals. {T}his type of analysis is used to study the mechanisms by which these individuals were formed. {S}uch techniques are well adapted to identify genetic groups contributing to these individuals as well as hybridization events. {I}t can also be used to follow chromosomal recombinations that occurred naturally or were generated by selective breeding. {H}ere, we present {G}e{M}o, a novel interactive web-based and user-oriented interface to visualize in a linear-based fashion results of in silico chromosome painting. {T}o facilitate data input generation, a script to execute analytical commands is provided and an interactive data curation mode is supported to ensure consistency of the automated procedure. {G}e{M}o contains preloaded datasets from published studies on crop domestication but can be applied to other purposes, such as breeding programs {A}lthough only applied so far on plants, {G}e{M}o can handle data from animals as well.},
  keywords = {},
  booktitle = {},
  journal = {{D}atabase},
  volume = {2022},
  numero = {},
  pages = {baac057 [5 p.]},
  ISSN = {1758-0463},
  year = {2022},
  DOI = {10.1093/database/baac057},
  URL = {https://www.documentation.ird.fr/hor/fdi:010085405},
}