Spring School for RNA-seq Sequence Analysis

May 15th – 19th, 2017 at the Icahn School of Medicine at Mount Sinai

Learn how to apply computational tools to genomic sequencing data, and gain practical knowledge of genome browser and data analysis tools for RNA sequencing using real-life data sets. Topics include:

Introduction to Scientific Computing, including Unix, Scripting and Python Overview of the Human Genome and Genetic Variation Isoform-level Analysis of RNA-seq datasets Analysis of Rare Variant/Exome Datasets Intro to Galaxy ToolKit, UCSC Genome Browser, 1000 Genomes, GWAS and WES data

This program is intended for early career faculty and postdoctoral fellows in biology or computer science. Applicants must be U.S. citizens or permanent residents. Educational costs are covered by grant NIH Big Data to Knowledge (BD2K) 1R25EB020393. There is a competitive selection process for applicants, and for those selected there is no fee to attend the course. In addition, housing will be provided at no cost for those requiring it, and travel stipends are available for attendees traveling from outside the NY Metro area.

For more information and to apply, please visit: mssm.edu/creeds

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