Visualizing breast cancer transcriptomes

Readings due before class on Tuesday, September 8, 2020

Required

• Chapter 3 R for Data Science: Introduction

• Sequencing by Synthesis

• Sequencing by Synthesis (more background including DNA chemistry)

Recommended

• Transcriptomics Excellent set of slides describing sequencing technologies and trends. Includes nice grpahics about Illumina technology. [From D Beiting, UPenn]

• History of Sequencing and Illumina’s Sequencing by Synthesis[From D Beiting, UPenn]

Deeper insight

• DIY Transcriptomics A nice course covering the central topics of transcriptomic bioinformatic analysis.
• RNA-seqlopedia A great resource for all things related to RNA-seq.

Action items

• You might investigate the small dataset in Project TCGA-BRCA at RStudio Cloud. We will discuss this at length in the lecture.