LinkageMapView—rendering high-resolution linkage and QTL maps
Author(s) -
Lisa Ouellette,
Robert W. Reid,
Steven G. Blanchard,
Cory Brouwer
Publication year - 2017
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btx576
Subject(s) - quantitative trait locus , linkage (software) , computer science , visualization , family based qtl mapping , rendering (computer graphics) , inclusive composite interval mapping , software , r package , open source , data mining , graphics , computer graphics (images) , biology , genetics , gene mapping , programming language , gene , chromosome
Linkage and quantitative trait loci (QTL) maps are critical tools for the study of the genetic basis of complex traits. With the advances in sequencing technology over the past decade, linkage map densities have been increasing dramatically, while the visualization tools have not kept pace. LinkageMapView is a free add-on package written in R that produces high resolution, publication-ready visualizations of linkage and QTL maps. While there is software available to generate linkage map graphics, none are freely available, produce publication quality figures, are open source and can run on all platforms. LinkageMapView can be integrated into map building pipelines as it seamlessly incorporates output from R/qtl and also accepts simple text or comma delimited files. There are numerous options within the package to build highly customizable maps, allow for linkage group comparisons, and annotate QTL regions.
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