Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/86846
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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 1471-2105 |
Statement of Responsibility: | 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 (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
DOI: | 10.1186/1471-2105-9-557 |
Grant ID: | http://purl.org/au-research/grants/arc/DP0663247 |
Published version: | http://dx.doi.org/10.1186/1471-2105-9-557 |
Appears in Collections: | Aurora harvest 7 Translational Health Science publications |
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hdl_86846.pdf | Published version | 302.55 kB | Adobe PDF | View/Open |
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