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  LIAN 3.0: detecting linkage disequilibrium in multilocus data

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.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-0FDD-C Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-0FDE-A
Genre: Journal Article

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 Creators:
Haubold, B.1, Author           
Hudson, R. R.2, Author
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1External, ou_persistent22              
2external, ou_persistent22              

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 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.

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 Dates: 2000-092000-09
 Publication Status: Issued
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 Rev. Type: -
 Identifiers: ISI: 000165748700014
DOI: 10.1093/bioinformatics/16.9.847
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Title: Bioinformatics
Source Genre: Journal
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Publ. Info: Oxford : Oxford University Press
Pages: - Volume / Issue: 16 (9) Sequence Number: - Start / End Page: 847 - 848 Identifier: ISSN: 1367-4803 (print)
ISSN: 1367-4811 (online)
ISSN: 1460-2059 (online)
CoNE: https://pure.mpg.de/cone/journals/resource/954926969991