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Published December 23, 2020 | Version 2020-12
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Introduction to differential gene expression analysis using RNA-seq

  • 1. Applied Bioinformatics Core, Weill Cornell Medicine

Description

Comprehensive introduction to the processing and analysis of bulk RNA-seq data including basic information about Illumina-based short read sequencing, common file formats (FASTQ, SAM/BAM, BED, ...) and quality controls. Contains ready-to-use UNIX and R code; covers the most common application of bulk RNA-seq to identify genes that are differentially expressed when comparing two conditions.

Files

Intro2RNAseq.pdf

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