An introduction to RNAseq
Document Type
Presentation Abstract
Presentation Date
3-13-2023
Abstract
High throughput sequencing data from Next Generation Sequencing (NGS) has enabled researchers to study the entire genome and the entire transcriptome with hypothesis-free experimental designs. In this talk, you will receive an overview of RNA sequencing, which leverages NGS to detect and quantify RNA in a biological sample. We will touch on lab preparation of samples (“libraries”), discover what happens inside a sequencer, and then learn about the different stages of analysis that occur afterward. Extra time will be spent on common practices to measure and reduce errors in the data, quantify alignment and mutations, and dive deeper into some more advanced analysis. There will be real-world examples of skills needed and challenges that face researchers working as bioinformaticians in the world of NGS, including anecdotes of my own experiences with a startup that recently purchased one of the newer sequencers on the market: the AVITI from Element Biosciences.
Recommended Citation
Seibold, Claire, "An introduction to RNAseq" (2023). Colloquia of the Department of Mathematical Sciences. 658.
https://scholarworks.umt.edu/mathcolloquia/658
Additional Details
March 13, 2023 at 3:00 p.m. Math 103