Image of cells

Date: Wednesday, July 14th, 2021

Time: 2:00PM - 3:30PM (EDT) 

Instructors: Rebecca Batorsky, PhD & Albert Tai, PhD

Learning Level: Fundamental

Primary Audience: Researchers, PIs, Postdoctoral and Graduate Students, Other Study Team Members

Prerequisite: Basic statistical knowledge is required. Computational experience will be helpful, but is not required.

Skills Domain: Data Management and Informatics, Scientific Concepts and Research Design

Which tools for experimental analysis should you choose?

High throughout RNA sequencing allows genome-wide investigation of gene expression and regulation. However, designing an experiment and choosing the right tools for analysis can be challenging. This session will introduce methods for analyzing and visualizing RNA-seq data: quality control, alignment-based quantification, transcriptome assembly and differential expression analysis. This course is part of a series of trainings in biomedical data science offered by the Center for Quantitative Methods and Data Science, Tufts Clinical and Translational Science Institute, and Tufts University Data Intensive Studies Center. For the full list of trainings in this series, please visit the Center for Quantitative Methods and Data Science webpage. Basic statistical knowledge is required. Computational experience will be helpful, but is not required.

Dates: Wednesday December 9th 12pm-1:00pm  
Location: Zoom  
 This Course is Free