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Whole Exome Sequencing and RNA-sequence data analysis
This course, organized between Training Programme of the Graduate School of Life Sciences, Cambridge University and the Computational Genomics Department, CIPF, covers state-of-the-art tools and methods for NGS RNA-seq and exome variant data analysis, which are of major relevance in today's genomic and gene expression studies.
High-throughput technologies such as next generation sequencing (NGS) are characterized for producing massive amounts of data. These technologies for example can allow to describe all variants in a genome or to detect the whole set of transcripts that are present in a cell or tissue. However, at the same time, posses new challenges in the way the data has to be analyzed, annotated and interpreted which are not trivial.
Whole Exome Sequencing produces sequence data using NGS assays and allows the study of genetic variations in the exonic regions of all genes that can be transformed in biological information at an unprecedented level of detail. Traditionally transcriptomic analysis have been used to find genes differentially expressed among distinct experimental conditions, or correlated to diverse parameters. Currently, NGS technologies such as RNA-seq can also allow to digitally quantify of all, known and unknown, transcripts or to discover new isoforms and splice sites for all the genes.
However, NGS data analysis can be a major bottleneck for many researchers which are still applying inefficient tools for the processing of the data and inadequate methods for the interpretation of their results in order to have meaningful results. This course covers state-of-the-art tools and methods for NGS RNA-seq and exome variant data analysis, which are of major relevance in today's genomic and gene expression studies.
Further information is available here
Mon, 29/09/2014 (All day) - Wed, 01/10/2014 (All day)
Bioinformatics Training Room, Craik-Marshall Building, Downing Site, University of Cambridge, UK