LIAN 3.0: detecting linkage disequilibrium in multilocus data

Haubold, B.; Hudson, R. R.

doi:10.1093/bioinformatics/16.9.847

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

LIAN 3.0: detecting linkage disequilibrium in multilocus data

MPS-Authors

There are no MPG-Authors in the publication available

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Haubold, B., & Hudson, R. R. (2000). LIAN 3.0: detecting linkage disequilibrium in multilocus data. Bioinformatics, 16(9), 847-848. doi:10.1093/bioinformatics/16.9.847.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0010-0FDD-C

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.