CCCB Workshop Descriptions

All current CCCB workshops are available for registration via Eventbrite (https://goo.gl/7Vffpr).

RNASeq Primer

RNA-Seq is emerging as a tool to study transcriptome changes through next-generation sequencing (NGS). Direct sequencing of cDNA or RNA offers greater resolution, sensitivity, and dynamic range for gene expression over microarray technology. Large selections of sample preparation methods are also available for RNA-Seq to generate data for questions that are previously difficult to address. This short RNA-Seq workshop will introduce next-generation sequencing technology for RNA-Seq experiments, basic experimental design, and analytical challenges to process the data.   This short four-hour workshop is intended as a primer for researchers interested in adapting RNA-Seq technology for their research. The primary goals will be enabling participants to have the basic knowledge to plan simple RNA-Seq experiments and to understand the limitations of the data and subsequent analysis.   Please note that this workshop will be lecture only with focus on the following topics:

  • RNA-Seq Technology Basics and Work Flow
  • RNA-Seq Data Quality Control
  • RNA-Seq Quantification and Differential Gene Expression Analysis
  • Basic RNA-Seq Experimental Design and Considerations

 

Moving Beyond Excel: Data Wrangling with R

You've just been handed the results from a high-throughput experiment...

What's next?

This introductory course is designed for investigators looking to improve their data analysis skills and move beyond Excel. Participants will be introduced to the R language and its basic capabilities for data processing, motivated by practical examples with high-throughput sequencing data such as differential expression or variant analyses.

No prior experience with R (or programming in general) is necessary.

Topics include:

  • Introduction to R and the command line
  • The power and ease of programming for consistent, reproducible research
  • Reading and writing formatted datasets
  • Filtering
  • Data "cleaning"
  • Data merging
  • (If time permits) Basic plotting