This workshop will be delivered on July 8th-9th 2020 by the Data Analytics Core (DAC) of the Center for Quantitative Biology at Dartmouth.
The DAC aims to facilitate advanced bioinformatic, computational, and statistical analysis of complex genomics data for the Dartmouth research community.
If you have questions about this workshop, or would like to discuss data analysis services available from the Data Analytics Core, please visit out website, or email us at: DataAnalyticsCore@groups.dartmouth.edu
- Develop a working understanding of the analytical workflow for a typical RNA-seq experiment
- Pre-process raw data in FASTQ format to generate a gene expression matrix
- Learn how to perform a detailed quality control analysis
- Develop a working understanding of the fundamental statistics behind a typical differential expression analysis using R/Bioconductor packages
- Perform a differential expression analysis using R/Bioconductor packages
- Learn how to explore the results and make robust insights from your data
- Shannon Soucy (Shannon.Margaret.Soucy@Dartmouth.edu)
- Owen Wilkins (omw@Dartmouth.edu)
- Yue Wang (yue.wang@Dartmouth.edu)