Title
MIDAS: software for analysis and visualisation of interallelic disequilibrium between multiallelic markers.
Abstract
BACKGROUND: Various software tools are available for the display of pairwise linkage disequilibrium across multiple single nucleotide polymorphisms. The HapMap project also presents these graphics within their website. However, these approaches are limited in their use of data from multiallelic markers and provide limited information in a graphical form. RESULTS: We have developed a software package (MIDAS – Multiallelic Interallelic Disequilibrium Analysis Software) for the estimation and graphical display of interallelic linkage disequilibrium. Linkage disequilibrium is analysed for each allelic combination (of one allele from each of two loci), between all pairwise combinations of any type of multiallelic loci in a contig (or any set) of many loci (including single nucleotide polymorphisms, microsatellites, minisatellites and haplotypes). Data are presented graphically in a novel and informative way, and can also be exported in tabular form for other analyses. This approach facilitates visualisation of patterns of linkage disequilibrium across genomic regions, analysis of the relationships between different alleles of multiallelic markers and inferences about patterns of evolution and selection. CONCLUSION: MIDAS is a linkage disequilibrium analysis program with a comprehensive graphical user interface providing novel views of patterns of linkage disequilibrium between all types of multiallelic and biallelic markers. AVAILABILITY: Available from http://www.genes.org.uk/software/midas and http://www.sgel.humgen.soton.ac.uk/midas
Year
DOI
Venue
2006
10.1186/1471-2105-7-227
BMC Bioinformatics
Keywords
Field
DocType
bioinformatics,microarrays,graphic user interface,algorithms,single nucleotide polymorphism,linkage disequilibrium
Graphics,Pairwise comparison,Association mapping,Linkage disequilibrium,International HapMap Project,Computer science,Disequilibrium,Software,Bioinformatics,Genetics,Computer graphics
Journal
Volume
Issue
ISSN
7
1
1471-2105
Citations 
PageRank 
References 
2
0.45
4
Authors
4
Name
Order
Citations
PageRank
Tom R. Gaunt16110.36
Santiago Rodríguez2161.13
Carlos Zapata320.45
Ian N. M. Day4264.53