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Type: Journal article
Title: SimHap GUI: an intuitive graphical user interface for genetic association analysis
Author: Carter, K.
McCaskie, P.
Palmer, L.
Citation: BMC Bioinformatics, 2008; 9(1):557-1-557-6
Publisher: BioMed Central
Issue Date: 2008
ISSN: 1471-2105
Statement of
Kim W Carter, Pamela A McCaskie, Lyle J Palmer
Abstract: Background: Researchers wishing to conduct genetic association analysis involving single nucleotide polymorphisms (SNPs) or haplotypes are often confronted with the lack of user-friendly graphical analysis tools, requiring sophisticated statistical and informatics expertise to perform relatively straightforward tasks. Tools, such as the SimHap package for the R statistics language, provide the necessary statistical operations to conduct sophisticated genetic analysis, but lacks a graphical user interface that allows anyone but a professional statistician to effectively utilise the tool. Results: We have developed SimHap GUI, a cross-platform integrated graphical analysis tool for conducting epidemiological, single SNP and haplotype-based association analysis. SimHap GUI features a novel workflow interface that guides the user through each logical step of the analysis process, making it accessible to both novice and advanced users. This tool provides a seamless interface to the SimHap R package, while providing enhanced functionality such as sophisticated data checking, automated data conversion, and real-time estimations of haplotype simulation progress. Conclusion: SimHap GUI provides a novel, easy-to-use, cross-platform solution for conducting a range of genetic and non-genetic association analyses. This provides a free alternative to commercial statistics packages that is specifically designed for genetic association analysis.
Keywords: Haplotypes; Polymorphism, Single Nucleotide; Algorithms; Computer Graphics; Software; Programming Languages; User-Computer Interface; Genome-Wide Association Study
Rights: © 2008 Carter et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
RMID: 0020136656
DOI: 10.1186/1471-2105-9-557
Appears in Collections:Translational Health Science publications

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