LIAN 3.0: detecting linkage disequilibrium in multilocus data. Linkage Analysis

B Haubold; R R Hudson

doi:10.1093/bioinformatics/16.9.847

LIAN 3.0: detecting linkage disequilibrium in multilocus data. Linkage Analysis

Bioinformatics. 2000 Sep;16(9):847-8. doi: 10.1093/bioinformatics/16.9.847.

Authors

B Haubold¹, R R Hudson

Affiliation

¹ Max-Planck-Institut für Chemische Okologie, Carl-Zeiss-Promenade 10, D-07745 Jena, Germany. haubold@ice.mpg.de

PMID: 11108709
DOI: 10.1093/bioinformatics/16.9.847

Abstract

LIAN is a program to test the null hypothesis of linkage equilibrium for multilocus data. LIAN incorporates both a Monte Carlo method as well as a novel algebraic method to carry out the hypothesis test. The program further returns the genetic diversity of the sample and the pairwise distances between its members.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Chromosome Mapping / methods*
Computational Biology / methods*
Genetic Variation
Haplotypes
Linkage Disequilibrium / genetics*
Models, Genetic*
Monte Carlo Method
Neisseria meningitidis / genetics
Software*
User-Computer Interface