/R-Python-Bioinfo-Trainings

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

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/