Quality Control, Exploratory Analysis and Statistics of RNA-seq Experiments
Petr V. Nazarov
Lecture 8. Quality Control, Exploratory Analysis and Statistics of RNA-seq Experiments
About
This is a part of Transcriptomics course (Prof.Stephanie Kreis) for MISB-students. The course includes both lecture and hands-on practicals. The main goal of the course is to familiarize students with data in transcriptomics, show them the methods for data exploratory analysis, and related statistcal approaches. Practical part includes working with gene expression data using R. Participants should have basic R programming skills (please check a module Introduction to R).
- The lecture is given by Dr. Petr Nazarov, Head of Bioinformatics platform and Multiomics Data Science research group, Luxembourg Institute of Health.
Place & Date
- 9:00-12:30, October 24, 2023
- Webex (if possible, we will try to record the session)
Materials
The materials of the course are freely available online. Please, use the top menu to navigate through the topics:
For video recordings you could also check previous version of the lecture.
R-scripts: script2023.r
Links
Additional courses (with videos)
- Biostatistics (2010-2021) my course at UL in 2010-2021.
- Introduction to R (MoDaS) basic introduction to R.
- Exploratory Data Analysis (MoDaS) - distributions, PCA, clustering, heatmaps.
- Differential Expression (MoDaS) - testing hypotheses gene expression.
- Predictice Models (MoDaS) - regression, classification, survival analysis.
Software
- R-cran - install R.
- RStudio - install RStudio.
- Bioconductor - R-packages for the analysis of high-throughput genomic data.
Information
- R Cheat Sheets by RStudio.
- R Reference Card - classical.
- R Tutorial
- R-tidyverse course on tidyverse style of R programming.
by Petr Nazarov
