Resources

I guess everybody, even the smartest people who ever lived, have days when they feel dumb — really, really dumb. Oct. 1, 1861, was that kind of day for Charles Darwin.

How small changes to a paper can help to smooth the review process.

The Awesomest 7-Year Postdoc or: How I Learned to Stop Worrying and Love the Tenure-Track Faculty Life

This paper presents a set of good computing practices that every researcher can adopt, regardless of their current level of computational skill.

Learning the command line, data management, and other important CS skills that you may not have learned yet.

Blog post describing good poster design principles.

A introductory book to statistical analysis using R.

A introductory book to statistical analysis using Python.

This repository is a collection of modules that are combined into 1-5 day workshops on computational topics for the childhood cancer research community.

An introduction to bash scripting.

A textbook and accompanying codebase on data visualization.

This workshop teaches data management and analysis for genomics research.

Interesting statistical anomalies and correlations.

Free silhouette images of animals, plants, etc.

Tool for identifying gendered language in job ads and letters of ref.