[Gtpb] NDARC16 - NGS Data Analysis RNAseq and ChIPseq - Announcement

REMINDER Dear all, The Applications for the bioinformatics training course NDARC16 - NGS Data Analysis RNAseq and ChIPseq, are now OPEN. IMPORTANT DATES for this Course Deadline for applications: March 20th 2016 Course dates: March 29th - April 1st 2016 Details are available here: http://gtpb.igc.gulbenkian.pt/bicourses/NDARC16 Overview High-throughput technologies such as next generation sequencing (NGS) can routinely produce massive amounts of data. These technologies allow us to describe all variants in a genome or to detect the whole set of transcripts that are present in a cell or tissue. However, such datasets pose new challenges in the way the data have to be analyzed, annotated and interpreted which are not trivial and are daunting to the wet-lab biologist. This course covers state-of-the-art and best-practice tools for NGS RNA-seq and ChIP-seq data analysis, which are of major relevance in today's genomic and gene expression studies. Methods The course is comprised of practical exercises preceded by short lectures. Exercises will be conducted primarily in the R programming language. Target Audiences Enthusiastic and motivated wet-lab biologists who want to gain more of an understanding of NGS data and eventually progress to analysing their own data. Pre-requisites There is a lot of material to cover in the course, so we will assume that you are familiar with a few basics before you come. The tool that will we do most of the analysis in is R. There will be a short recap of the key concepts at the beginning of the course; however it will be beneficial if you are already familiar with how to read data into R, perform basic subset operations and produce simple plots. Some introductory statistics, such as summary statistics for continuous data (mean, variance etc) and interpreting the results of a t-test, will be also be assumed. See "Statistics at Square One"" Chapters 1, 2, 3 and 7 (Statistics at Square One - BMJ) for a good overview. Basic unix skills, such as being able to list the contents of a directory and copy files, would also be an advantage. See "Session 1" of the Software Carpentry training for a Unix introduction (Shell-novice material from the Software Carpentry Foundation). Best wishes Pedro Fernandes GTPB Coordinator -- Pedro Fernandes Instituto Gulbenkian de Ciência Apartado 14 2781-901 OEIRAS PORTUGAL Tel +351 21 4407912 http://gtpb.igc.gulbenkian.pt _______________________________________________ GTPB mailing list GTPB@igc.gulbenkian.pt https://lists.igc.gulbenkian.pt/mailman/listinfo/gtpb
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Pedro Fernandes