Image of cells

Date: Wednesday, June 30th, 2021

Time: 2:00PM - 3:30PM (EDT) 

Instructors: Eric Reed, PhD and Albert Tai, PhD

Learning Level: Fundamental

Primary Audience: Researchers, Research Coordinators, PIs, Postdoctoral and Graduate Students

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

When should you use sample enrichment, sequencing format, and library preparation approaches?

RNA-Seq is a powerful technology that can be used to study transcription profile in sample of interest. Yet, the choice of sample enrichment, sequencing format, and library preparation approach all have profound impact on the usability of sequencing data for downstream intended (and intended) analysis. Thus, the parameters are important consideration when designing your own experiment, as well as utilizing data that is available in the public domain. This session aims to provide some guidance on these topics. 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  
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 This Course is Free