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Bioinformatics Advance Access originally published online on March 3, 2005
Bioinformatics 2005 21(10):2556-2557; doi:10.1093/bioinformatics/bti364
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© The Author 2005. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions{at}oupjournals.org

Mega2: data-handling for facilitating genetic linkage and association analyses

Nandita Mukhopadhyay 1, Lee Almasy 1,{dagger}, Mark Schroeder 2,{ddagger}, William P. Mulvihill 1,§ and Daniel E. Weeks 1,2,*

1Department of Human Genetics, University of Pittsburgh Pittsburgh, PA 15261, USA
2Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh Pittsburgh, PA 15261, USA

*To whom correspondence should be addressed.

Summary: Mega2, the manipulation environment for genetic analysis, transparently allows users to process genetic data for family-based or case/control studies accurately and efficiently. In addition to data validation checks, Mega2 provides analysis setup capabilities for a broad choice of commonly used genetic analysis programs, including SimWalk2, ASPEX, GeneHunter, SLINK, SIMULATE, S.A.G.E., SOLAR, Vitesse, Allegro, PREST, PAP, Loki, Merlin and MENDEL.

Availability: http://watson.hgen.pitt.edu/register/

Contact: dweeks{at}watson.hgen.pitt.edu

Supplementary information: http://watson.hgen.pitt.edu/docs/mega2_html/mega2.html


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