Notes and exercises from the RNA-seq course of the Bioinformatics and Statistics 2022 class, lectured by Leonardo Collado at the LCG - UNAM undergraduate program (materials in Spanish).
- Learn about current sequencing technologies and the diversity of data analyses they enable.
- Learn how to handle RNA-seq data and perform de novo transcriptome assembly, read mapping and expression quantification, quality control analyses, and differential gene expression analysis.
- Use R/Bioconductor packages to process data and shed light into relevant biological questions through transcriptomics.
No system requirements needed.
Install R 4.0.x and install Bioconductor packages. Install RStudio version 1.4 or newer.
To consult license see LICENSE
Author: Daianna Gonzalez-Padilla E-mail: daianna@lcg.unam.mx