Reading list for new members

Git

• A Quick Introduction to Version Control with Git and GitHub

Organizing projects

• A Quick Guide to Organizing Computational Biology Projects
• workflowr package

Research

• How to Build a Motivated Research Group
• How To Choose a Good Scientific Problem
• MATERIALS FOR NURTURING SCIENTISTS

Reproducible research

• WaveLab and Reproducible Research
• A Multi-Language Computing Environment for Literate Programming and Reproducible Research

Skills for computing

• Unix command line bootcamp
• Software carpentry lessons: Unix, git, programming, etc
• Practical Computing for biologists
• curated list of R tutorials and packages for Data Science, NLP and Machine Learning
• curated list of Python tutorials for Data Science, NLP and Machine Learning
• How to (re-) learn Python 3 as an advanced R programmer

etc

• Statistics for biologists

For those who would do RNA-seq data analysis

• RNA-Seq: a revolutionary tool for transcriptomics - introduces RNA-sequencing.
• the Leek group guide to genomics papers

Lectures and Tutorials for computational biology

• Models, Inference & Algorithms (MIA): new Broad initiative to support learning and collaboration across the interface of biology and mathematics / statistics / machine learning / computer science.

Basic Stat

• Statistical Thinking for the 21st Century

Making website

• Easy websites with GitHub Pages