The R/BioConductor Workshop
The post-genomic era heralds much awaited great discoveries in the field of science and medical research. With newer and faster high-throughput technologies on the market, we are succumbed to insurmountable volumes of data. The key to these new discoveries lie in the methods available to mine and interrogate the data, providing biologists with new hypothesis for a better understanding of nature. In this short workshop, we introduce R, an open-source software based on the S/S+ language (developed by statisticians). We would also introduce Bioconductor, a multi-package open-source software that utilizes the R core. With these two complementary software, genomic analysis of high-throughput data is easy and possible. The workshop would run through the basics of the R language and common analysis used with Bioconductor. Areas of genomic analysis that would be covered are gene expression analysis, Copy Number and Single Nucleotide Polymorphisms(SNP) analysis. The nature of this workshop would suit individuals who having an affinity to algorithm development and customized genomic analysis, using command line approaches. Some knowledge in computers and genomics would help greatly, but passion and enthusiasm are the more vital components that are required to gain most from this workshop.

Topics will be discussed.

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