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ES_APPM 372: Introduction to the Analysis of RNA Sequencing Data

Description

This course will give an introduction to the theory and practice of analyzing high-throughput RNA sequencing through lectures and hands-on exercises.  The basic topics covered will include: 1) the format of/working with raw sequencing data; 2) aligning reads to a reference genome; 3) the format of/working with aligned SAM/BAM files; 4) different ways to perform read-based gene counting; 4) How to visually explore reads and read counts; 5) variance shrinkage and principal components; 6) The theory of/doing differential expression analysis.  Additional topics will be covered as time permits, based in part upon the interests of the course participants.

No textbook required