A new haplotype block detection method for dense genome sequencing data based on interval graph modeling of clusters of highly correlated SNPs-Reference-Cited by-同舟云学术

A new haplotype block detection method for dense genome sequencing data based on interval graph modeling of clusters of highly correlated SNPs

Published:2017-09-29 Issue:3 Volume:34 Page:388-397
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Kim Sun Ah¹,Cho Chang-Sung²,Kim Suh-Ryung²,Bull Shelley B³⁴,Yoo Yun Joo²⁵

Affiliation:

1. Department of Statistics, Seoul National University, Seoul, South Korea

2. Department of Mathematics Education, Seoul National University, Seoul, South Korea

3. Prosserman Centre for Health Research, The Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Canada

4. Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada

5. Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, South Korea

Funder

National Research Foundation of Korea

NRF

Canadian Institutes of Health Research

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/34/3/388/25117115/btx609.pdf

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3. Genetic epidemiology of single-nucleotide polymorphisms;Collins;Proc. Natl. Acad. Sci. USA,1999

4. The igraph software package for complex network research;Csardi;InterJournal,2006

5. High-resolution haplotype structure in the human genome;Daly;Nat. Genet,2001

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