SNP-tools: A compact tool package for analysis and conversion of genotype data for MS-Excel

被引:49
作者
Chen B. [1 ]
Wilkening S. [2 ]
Drechsel M. [1 ]
Hemminki K. [1 ,3 ]
机构
[1] Department of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ)
[2] European Molecular Biology Laboratory (EMBL)
[3] Center for Family and Community Medicine, Karolinska Institute
关键词
Output File; Conversion Function; Data Conversion; Info File; Single Nucleotide Polymorphism Data;
D O I
10.1186/1756-0500-2-214
中图分类号
学科分类号
摘要
Abstract. Background. Single nucleotide polymorphism (SNP) genotyping is a major activity in biomedical research. Scientists prefer to have a facile access to the results which may require conversions between data formats. First hand SNP data is often entered in or saved in the MS-Excel format, but this software lacks genetic and epidemiological related functions. A general tool to do basic genetic and epidemiological analysis and data conversion for MS-Excel is needed. Findings. The SNP-tools package is prepared as an add-in for MS-Excel. The code is written in Visual Basic for Application, embedded in the Microsoft Office package. This add-in is an easy to use tool for users with basic computer knowledge (and requirements for basic statistical analysis). Conclusion. Our implementation for Microsoft Excel 2000-2007 in Microsoft Windows 2000, XP, Vista and Windows 7 beta can handle files in different formats and converts them into other formats. It is a free software. © 2009 Chen et al.
引用
收藏
相关论文
共 11 条
[1]  
HapMap
[2]  
CGEMS
[3]  
Barrett J.C., Et al., Haploview: Analysis and visualization of LD and haplotype maps, Bioinformatics, 21, 2, pp. 263-5, (2005)
[4]  
Stephens M., Scheet P., Accounting for decay of linkage disequilibrium in haplotype inference and missing-data imputation, Am J Hum Genet, 76, 3, pp. 449-62, (2005)
[5]  
SNPHAP
[6]  
Scheet P., Stephens M., A fast and flexible statistical model for large-scale population genotype data: Applications to inferring missing genotypes and haplotypic phase, Am J Hum Genet, 78, 4, pp. 629-44, (2006)
[7]  
Abecasis G.R., Et al., Merlin - Rapid analysis of dense genetic maps using sparse gene flow trees, Nat Genet, 30, 1, pp. 97-101, (2002)
[8]  
Purcell S., Et al., PLINK: A tool set for whole-genome association and population-based linkage analyses, Am J Hum Genet, 81, 3, pp. 559-75, (2007)
[9]  
Hao K., Di X., Cawley S., LdCompare: Rapid computation of single- and multiple-marker r2 and genetic coverage, Bioinformatics, 23, 2, pp. 252-4, (2007)
[10]  
Gonzalez J.R., Et al., SNPassoc: An R package to perform whole genome association studies, Bioinformatics, 23, 5, pp. 644-5, (2007)