Basic R for Transcriptomics
Petr V. Nazarov, LIH
2018-03-05
Basic R for Transcriptomics
About
This training session provides a kick-start opportunity for researchers who are interested in using R-language for the analysis of transcriptomics data. First, we shall fast review basic R programming, see how to load and explore gene expression data in R and extract/visualise the significant genes. Next, the participants will complete a guided practical exercise. At the end of this course, participants are expected to have acquired practical skills in basic transcriptomics data analysis. Although the course is suitable to a diverse audience, including those with basic R knowledge, we highly recommend that registered participants review (before the session) sessions 1-3 of last year’s course given by PN in the frame of the Training & Workshops series: http://edu.sablab.net/r2017/
Place & Date
- Salles Louis Pasteur & Marie Curie, Edison, LIH
- 13:00, the 5th March, 2018
- by Petr Nazarov, Arnaud Muller, Tony Kaoma
Materials
The materials of the course are freely available online.
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Links
Other courses
- Introduction to R - basic R course (8h).
- Advanced Biostatistics - complete course for PhD students (30h).
Software
- R-cran - install R.
- RStudio - install RStudio.
- Bioconductor - tools for analysis of high-throughput genomics data.
Information
- R Cheat Sheets by RStudio.
- R Reference Card - classical.
- R Tutorial
- Recent R-tidyverse course - new advanced methods.