BioMercator: integrating genetic maps and QTL towards discovery of candidate genes.
CONCLUSIONS
Breeding programs face the challenge of integrating information from genomics and from quantitative trait loci (QTL) analysis in order to identify genomic sequences controlling the variation of important traits. Despite the development of integrative databases, building a consensus map of genes, QTL and other loci gathered from multiple maps remains a manual and tedious task. Nevertheless, this is a critical step to reveal co-locations between genes and QTL. Another important matter is to determine whether QTL linked to same traits or related ones is detected in independent experiments and located in the same region, and represents a single locus or not. Statistical tools such as meta-analysis can be used to answer this question. BioMercator has been developed to automate map compilation and QTL meta-analysis, and to visualize co-locations between genes and QTL through a graphical interface.


BACKGROUND
Available upon request (http://moulon/~bioinfo/BioMercator/). Free of charge for academic use.
Arcade
Anne
A
UMR, INRA UPS-XI INAPG CNRS Génétique Végétale, Ferme du Moulon, 91190 Gif-sur-Yvette, France.
Labourdette
Aymeric
A
Falque
Matthieu
M
Mangin
Brigitte
B
Chardon
Fabien
F
Charcosset
Alain
A
Joets
Johann
J
D000465:Algorithms; D002874:Chromosome Mapping / Q000379:methods*; D003196:Computer Graphics; D016384:Consensus Sequence; D040641:Quantitative Trait Loci / Q000235:genetics*; D016415:Sequence Alignment / Q000379:methods*; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software; D018511:Systems Integration; D014584:User-Computer Interface