RNA-Seq Read Mapping
Channel: Genomics Education Partnership
Date: 2020-12-17

In this video, we will discuss the computational approaches that enable RNA-Seq data to be efficiently mapped to an organism's genome assembly. 

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This video, created by Dr. Le Paliulis (Bucknell University; GEP member since 2013), accompanies a presentation developed by Dr. Jeremy Buhler that provides an introduction to the core algorithms that form the basis for efficient mapping of RNA-Seq reads against a genome or transcriptome: https://thegep.org/lessons/jbuhler-lecture-rnaseq_mapping/

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Spanish subtitles provided by REV.com and reviewed Mateo Antonio Lopez, GEP Virtual TA and biology student at Mount Saint Mary College, NY. 

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