Skip Navigation


Bioinformatics Advance Access originally published online on December 5, 2006
Bioinformatics 2007 23(2):252-254; doi:10.1093/bioinformatics/btl574
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (Print PDF) Freely available
Right arrowOA All Versions of this Article:
23/2/252    most recent
btl574v1
Right arrow Comments: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when Comments are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (4)
Google Scholar
Right arrow Articles by Hao, K.
Right arrow Articles by Cawley, S.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Hao, K.
Right arrow Articles by Cawley, S.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© 2006 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

LdCompare: rapid computation of single- and multiple-marker r2 and genetic coverage

K. Hao {dagger},*, X. Di {dagger} and S. Cawley {dagger}

Algorithm and Data Analysis, Affymetrix Inc. 3420 Central Expressway, Santa Clara, California, USA

*To whom correspondence should be addressed.


   Abstract

Summary: The scale of genetic-variation datasets has increased enormously and the linkage equilibrium (LD) structure of these polymorphisms, particularly in whole-genome association studies, is of great interest. The significant computational complexity of calculating single- and multiple-marker correlations at a genome-wide scale remains challenging. We have developed a program that efficiently characterizes whole-genome LD structure on large number of SNPs in terms of single- and multiple-marker correlations.

Availability: LdCompare is licensed under the GNU General Public License (GPL). Source code, documentation, testing datasets and precompiled executables are available for download at: http://www.affymetrix.com/support/developer/tools/devnettools.affx

Contact: ke_hao{at}affymetrix.com

{dagger}The authors wish it to be known that, in their opinion, the first three authors should be regarded as joint First Authors

Associate Editor: Martin Bishop


Received on September 21, 2006; revised on November 10, 2006; accepted on November 11, 2006

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
BiostatisticsHome page
J. Y. Dai, M. Leblanc, N. L. Smith, B. Psaty, and C. Kooperberg
SHARE: an adaptive algorithm to select the most informative set of SNPs for candidate genetic association
Biostat., October 1, 2009; 10(4): 680 - 693.
[Abstract] [Full Text] [PDF]



Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.