Learn R and Bioinformatics

We are introducing remotely taught R modules designed specifically for the biologists. Each module is short and focussed, where you see immediate value compared to your current workflow. For example, module 3 helps you gain efficiency by moving away from Excel to R. We used similar modules to successfully teach R to high-school students, who had no prior coding background. You can read their testimonials here.

Module 1.

R for Biology (Free)

This introductory module helps you get started with R, a powerful software tool for biological data analysis. We cover the absolute basics and share with you the essence of why R is so useful. You will also receive information on the best online resources to continue learning.

Details

Module 2.

R for Biology - Core Concepts

This module introduces you to the core concepts of the R language to help you build a solid foundation. Most importantly, it shows you how to think in terms of vectors and functions. You will also get introduced to a number of powerful libraries including tidyverse, stringr and rmarkdown.

Cost:$99 for premium members, $125 for others.

Details

Module 3.

NGS - RNAseq Analysis using R

This module shows various components of RNAseq data analysis. The primary focus is on dplyr library so that you can process tabular data from RNAseq experiments using R. On completion, you will be able to replace Excel or other spreadsheet programs with R and gain efficiency in your data analysis.

Cost:$99 for premium members, $125 for others.

Details

Module 4.

NGS - RNAseq Analysis using R (Advanced)

This module teaches you to use a number of software tools for RNAseq data analysis. You will map raw reads using Kallisto, perform differential expression analysis using DESeq2/edgeR/sleuth, and learn about annotation, clustering, GO analysis and other biological analyses of data.

Cost:$99 for premium members, $125 for others.

Details

Module 5.

Data Visualization in R

Visual representation is an important aspect of biological data analysis. This module shows you various visualization tools in R - core library (scatterplot, histogram), venn diagram, heatmap and logoplot. Most time is spent to cover the powerful and versatile ggplot library that allows you to build publication-quality plots.

Cost:$99 for premium members, $125 for others.

Details

Module 6.

Statistical Analysis in R

This module helps you learn statistical concepts and perform statistical analysis of biological data using R. You will create random datasets, learn about statistical distributions, t-test, analysis of variance (ANOVA), linear regression, Principle Component Analysis (PCA) and clustering analysis.

Cost:$99 for premium members, $125 for others.

Details