About CTL mapping

Correlated Traits Locus (CTL) mapping, a method comparable to QTL mapping. However CTL unlike QTL associates differences in correlation to genetic variation, i.e. to identify regions in the genome for which one genotype value leads to correlated expression between a trait and other traits, while the other genotype doesn't show this correlation (Fig \ref{NAR-fig1}). Unlike QTL mapping which focuses on differences in mean trait expression, CTL mapping looks at differences in the trait-marker correlation structure. CTL information complements QTL information, and provides new insights into regulation of traits, which remains hidden when only using a classical QTL mapping approach.

Read the whole article...

Correlated Traits Locus (CTL) mapping - Danny Arends, Pjotr Prins and R.C. Jansen - Nucleic Acids Research (20XX) Vol. XX, No. XX XXX–-XXX


CTLmapping is free and open source software, made available under the LGPLv3 license. CTLmapping is implemented as an add-on package for the freely available and widely used statistical language/software R (see the R project homepage), The development of this software as an add-on to R allows us to take advantage of the basic mathematical and statistical functions, and powerful graphics capabilities, that are provided with R. Further CTL mapping for R runs on most platforms, including Linux, Mac OS X and Windows


Contact for problems/questions/suggestions: Danny Arends (Danny.Arends at Gmail.com)
(c) 2011 - Groningen Bioinformatics Centre :
Danny Arends - www.dannyarends.nl, Pjotr Prins - www.thebird.nl, and Ritsert C. Jansen - www.rug.nl/gbic