BioMercator V3: an upgrade of genetic map compilation and quantitative trait loci meta-analysis algorithms

• Published in: Bioinformatics Vol. 28; no. 15; pp. 2082 - 2083
• Main Authors: SOSNOWSKI, Olivier, CHARCOSSET, Alain, JOETS, Johann
• Format: Journal Article
• Language: English
• Published: Oxford Oxford University Press 01-08-2012; Oxford University Press (OUP)
• Subjects: Algorithms; Applications Note; Biological and medical sciences; Chromosome Mapping - methods; Computational Biology - methods; Fundamental and applied biological sciences. Psychology; General aspects; Life Sciences; Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects); Meta-Analysis as Topic; Quantitative Trait Loci; Software; Vegetal Biology; Genetic mapping; Quantitative genetics; Quantitative trait loci; Quantitative character; Algorithm; Quantitative analysis; Metaanalysis; METAQTL; QTL; FLOWERING-TIME; MAIZE; GENOME
• ISSN: 1367-4803; 1367-4811; 1460-2059
• DOI: 10.1093/bioinformatics/bts313

Compilation of genetic maps combined to quantitative trait loci (QTL) meta-analysis has proven to be a powerful approach contributing to the identification of candidate genes underlying quantitative traits. BioMercator was the first software offering a complete set of algorithms and visualization tool covering all steps required to perform QTL meta-analysis. Despite several limitations, the software is still widely used. We developed a new version proposing additional up to date methods and improving graphical representation and exploration of large datasets.
BioMercator V3 is implemented in JAVA and freely available (http://moulon.inra.fr/biomercator)
[e-mail].