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GeMo: a web-based platform for the visualization and curation of genome ancestry mosaics

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Title GeMo: a web-based platform for the visualization and curation of genome ancestry mosaics
 
Creator Summo, Marilyne
Comte, Aurore
Martin, Guillaume
Perelle, Pierrick
Weitz, Eric M.
Droc, Gaëtan
Rouard, Mathieu
 
Subject digital technology
chromosome mapping
data collection
cartografía cromosómica
tecnología digital
colección de datos
 
Description In silico chromosome painting is a technique by which contributions of distinct genetic groups are represented along chromosomes of hybrid individuals. This type of analysis is used to study the mechanisms by which these individuals were formed. Such techniques are well adapted to identify genetic groups contributing to these individuals as well as hybridization events. It can also be used to follow chromosomal recombinations that occurred naturally or were generated by selective breeding. Here, we present GeMo, a novel interactive web-based and user-oriented interface to visualize in a linear-based fashion results of in silico chromosome painting. To 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. GeMo contains preloaded datasets from published studies on crop domestication but can be applied to other purposes, such as breeding programs Although only applied so far on plants, GeMo can handle data from animals as well.
 
Date 2022-07-14
2022-07-19T14:04:46Z
2022-07-19T14:04:46Z
 
Type Journal Article
 
Identifier Summo, M.; Comte, A.; Martin, G.; Perelle, P.; Weitz, E.M.; Droc, G.; Rouard, M. (2022) GeMo: a web-based platform for the visualization and curation of genome ancestry mosaics. Database: Online First Paper (14 July 2022). 5 p. ISSN: 1758-0463
1758-0463
https://hdl.handle.net/10568/120179
https://doi.org/10.1093/database/baac057
 
Language en
 
Rights CC-BY-NC-4.0
Open Access
 
Format 5 p.
application/pdf
 
Publisher Oxford University Press (OUP)
 
Source Database: The Journal of Biological Databases and Curation