R, Python, Bioinformatics Trainings

R, Python and Bioinformatics courses from the University of Cambridge, UK, and other partners institutions.

R-crash-course - introduction to the R language

https://bioinformatics-core-shared-training.github.io/r-crash-course/

An Introduction to Solving Biological Problems with R

http://cambiotraining.github.io/r-intro/

Data Manipulation and Visualisation using R

http://bioinformatics-core-shared-training.github.io/r-intermediate/

Analysis of single-cell RNA-seq data

http://hemberg-lab.github.io/scRNA.seq.course/

Bioinformatics Training Materials

http://bioinformatics-core-shared-training.github.io/

Introduction to Statistical Analysis

http://bioinformatics-core-shared-training.github.io/IntroductionToStats/

Experimental Design - A Course on designing high-throughput experiments

http://bioinformatics-core-shared-training.github.io/experimental-design/

Ngs-in-bioc - A course on Analysing Next Generation (/High Throughput etc..) Sequencing data using Bioconductor

http://bioinformatics-core-shared-training.github.io/ngs-in-bioc/

Further Statistical Analysis Using R - For those that want to go further with stats and are familiar with R

http://bioinformatics-core-shared-training.github.io/intermediate-stats/

Next Generation Sequencing for Regulatory Genomics (ChIP-seq, ATAC-seq and Hi-C)

https://bioinformatics-core-shared-training.github.io/cruk-summer-school-2019/

Other Teaching Materials

http://lgatto.github.io/TeachingMaterial/