# About

Relevant books, papers, lectures and other learning materials online, mostly authored by others but compiled & curated by us.

# Books

## Text books

- Statistics backgroud most relevant to our research.
- Computational biology.

## Popular science books

- Book club 2015, a list compiled by Xin He in 2015.
- CSG book club.

# Papers

## Keep up with literature

## General collections

- Nature’s Scitable.
- PLoS Compbio Education collection.
- Nature Biotech Computational Biology collection.
- Computational genomics papers, a list compiled by Xin He in 2016.
- Matthew Stephens lab reading list, papers from the lab.

## Statistical genetics

## Transcriptome computational biology

# Online courses & tutorials

## Statistics

- 5 minutes statistics by Matthew Stephens, with some additional material.
**highly recommended**if you already know some statistics.

- Statistics in action with R
- Bayesian Data Analysis by Aki Vehtari
- Statistical Rethinking Youtube video by Richard McElreath
**highly recommended**if you need an introduction to Bayesian statistics

- Misc. material:

## Machine learning

- Deep learning for computer vision, Stanford
- Misc. material:
- Math for machine learning, a note from UC Berkeley CS 189/289A.
- Matrix calculus for deep learning.
- Toturial on Generative Adversarial Networks

## Statistical genetics

- A practical introduction to statistical genetics by Robert Maier.
**highly recommended**, even if you are already savvy in statistical genetics.

- GWAS course by Matti Pirinen
- Statistical genetics short courses by Suzanne Leal
- Misc. material:

## Programing

- Software Carpentry tutorials, the “Core Lessons” on Unix Shell, git, Python and R.