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BioSMACK: a linux live CD for genome-wide association analyses

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Recent advances in high-throughput genotyping technologies have enabled us to conduct a genome-wide association study (GWAS) on a large cohort. However, analyzing millions of single nucleotide polymorphisms (SNPs) is still a difficult task for researchers conducting a GWAS. Several difficulties such as compatibilities and dependencies are often encountered by researchers using analytical tools, during the installation of software. This is a huge obstacle to any research institute without computing facilities and specialists. Therefore, a proper research environment is an urgent need for researchers working on GWAS. We developed BioSMACK to provide a research environment for GWAS that requires no configuration and is easy to use. BioSMACK is based on the Ubuntu Live CD that offers a complete Linux-based operating system environment without installation. Moreover, we provide users with a GWAS manual consisting of a series of guidelines for GWAS and useful examples. BioSMACK is freely available at http://ksnp.cdc. go.kr/biosmack. [BMB reports 2012; 45(1): 44-46]

Abstract

Recent advances in high-throughput genotyping technologies have enabled us to conduct a genome-wide association study (GWAS) on a large cohort. However, analyzing millions of single nucleotide polymorphisms (SNPs) is still a difficult task for researchers conducting a GWAS. Several difficulties such as compatibilities and dependencies are often encountered by researchers using analytical tools, during the installation of software. This is a huge obstacle to any research institute without computing facilities and specialists. Therefore, a proper research environment is an urgent need for researchers working on GWAS. We developed BioSMACK to provide a research environment for GWAS that requires no configuration and is easy to use. BioSMACK is based on the Ubuntu Live CD that offers a complete Linux-based operating system environment without installation. Moreover, we provide users with a GWAS manual consisting of a series of guidelines for GWAS and useful examples. BioSMACK is freely available at http://ksnp.cdc. go.kr/biosmack. [BMB reports 2012; 45(1): 44-46]

참고문헌 (11)

  1. Purcell, S., "PLINK: a tool set for whole-genome association and population-based linkage analyses", Am. J. Hum. Genet., 81, pp.559~575 (2007)
  2. Price, A. L., "Principal components analysis corrects for stratification in genome-wide association studies", Nat. Genet, 38, pp.904~909 (2006)
  3. Pritchard, J. K., "Inference of population structure using multilocus genotype data", Genetics, 155, pp.945~959 (2000)
  4. Clayton, D., "An R package for analysis of whole-genome association studies", Hum. Hered., 64, pp.45~51 (2007)
  5. Vetrivel, U., "Open discovery: An integrated live Linux platform of Bioinformatics tools", Bioinformation, 3, pp.144~146 (2008)
  6. Estrada, K., "GRIMP: a web- and grid-based tool for high-speed analysis of large-scale genome-wide association using imputed data", Bioinformatics, 25, pp.2750~2752 (2009)
  7. Geeleher, P., "BioconductorBuntu: a Linux distribution that implementsa web-based DNA microarray analysis server", Bioinformatics, 25, pp.1438~1439 (2009)
  8. Thomson, R. C., "PhyLIS: a simple GNU", Linux distribution for phylogenetics and phyloinformatics, 2009, pp.5, 91~95
  9. Willer, C. J., "METAL: fast and efficient meta-analysis of genomewide association scans", Bioinformatics, 26, pp.2190~2191 (2010)
  10. Marchini, J., "A new multipoint method for genome- wide association studies by imputation of genotypes", Nat. Genet., 39, pp.906~913 (2007)
  11. Li, Y., "MaCH: using sequence and genotype data to estimatehaplotypes and unobserved genotypes", Genet.Epidemiol, 34, pp.816~834 (2010)

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