Tutorial Details: RNA-Seq Tutorial Lecture 1
|Date:||Wednesday, September 18, 2013, 09:00 am - 11:00 am|
|Instructor(s):||Ying Zhang, MSI, John R Garbe,|
This tutorial is designed to give experimental scientists a thorough overview of the practical issues involved in designing an RNA-seq experiment and the best practices in analysis of RNA-seq data. After this tutorial, attendees will be aware of the most important factors affecting the successful outcome of an RNA-seq experiment and understand the process for properly analyzing the data.
This tutorial discusses the main parameters involved in experimental design including read length and depth, and replication required for robust statistical analysis, as well as the main steps of RNA-seq analysis: data quality assessment, data trimming and filtering, read mapping, transcriptome assembly and analysis, transcript abundance estimation, and differential expression analysis. Commonly used software and resources for addressing these steps will be discussed. Detailed instruction on using specific software packages will be provided in other tutorials.