Strand NGS (formerly Avadis NGS) supports an extensive workflow for the analysis and visualisation of Methyl-Seq data-such as from whole genome or targeted experiments. In this webinar, we’ll cover the workflow features for detection and quantification of methylation levels in individual samples, detection of differentially methylated cytosines across samples/target regions, intra-sample analysis, and assessing methylation effects at the genic level. Further downstream analysis such as GO, pathway analysis on the set of affected genes will be covered briefly.
Session 1 : Asia and Europe Date : July 23, 2014 Time : 11 AM, Central European Time
Session 2 : North America and South America Date : July 23, 2014 Time : 9 AM, Pacific Standard Time
|Dr. Rohit Gupta has over 10 years of research experience in applying data mining / estimation / predictive models to scientific and commercial domains, including computational biology, medical and healthcare informatics. Rohit has a Ph.D in Computer Science and Engineering from University of Minnesota and has experience working as research collaborator at the Mayo Clinic in Rochester and as computational biologist at Genentech. At Strand, he is working on research and product development in computational biology and clinical application of Genomics.|
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