%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Heffelfinger, C.
%A Fragoso, C. A.
%A Lorieux, Mathias
%T Constructing linkage maps in the genomics era with MapDisto 2.0
%D 2017
%L fdi:010070310
%G ENG
%J Bioinformatics
%@ 1367-4803
%M ISI:000405289100076
%N 14
%P 2224-2225
%R 10.1093/bioinformatics/btx177
%U https://www.documentation.ird.fr/hor/fdi:010070310
%> https://www.documentation.ird.fr/intranet/publi/2017/08/010070310.pdf
%V 33
%W Horizon (IRD)
%X Motivation: Genotyping by sequencing (GBS) generates datasets that are challenging to handle by current genetic mapping software with graphical interface. Geneticists need new user-friendly computer programs that can analyze GBS data on desktop computers. This requires improvements in computation efficiency, both in terms of speed and use of random-access memory (RAM). Results: MapDisto v. 2.0 is a user-friendly computer program for construction of genetic linkage maps. It includes several new major features: (i) handling of very large genotyping datasets like the ones generated by GBS; (ii) direct importation and conversion of Variant Call Format (VCF) files; (iii) detection of linkage, i.e. construction of linkage groups in case of segregation distortion; (iv) data imputation on VCF files using a new approach, called LB-Impute. Features i to iv operate through inclusion of new Java modules that are used transparently by MapDisto; (v) QTL detection via a new R./qtl graphical interface.
%$ 020