Graim Lab

Resources

Useful links, etc

Charles Darwin And The Terrible, Horrible, No Good, Very Bad Day

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.

Manuscript writing advice

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

More

Seven year postdoc

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

Good enough practices in scientific computing

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

The Missing Semester of Your CS Education

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

Designing an award-winning poster

Blog post describing good poster design principles.

Introduction to statistics (original R version)

A introductory book to statistical analysis using R.

Introduction to statistics (python version)

A introductory book to statistical analysis using Python.

Alex's Lemonade Stand Training Modules

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

Bash tutorials

An introduction to bash scripting.

Fundamentals of Data Viz

A textbook and accompanying codebase on data visualization.

Data Carpentry Genomics Workshop

This workshop teaches data management and analysis for genomics research.

Statistical vignette of the day

Interesting statistical anomalies and correlations.

Silhouette images

Free silhouette images of animals, plants, etc.

Gender bias calculator

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

R EasyStats

A collection of R packages for easy statistics and models.

What they forgot to teach you about R

This book focuses on content intrinsically related to the infrastructure surrounding data analysis in R, but does not delve into the data analysis itself.

DIY.transcriptomics

Best practices for the analysis of high-throughput sequencing data from gene expression (RNA-seq) studies.

Ten simple rules for attending your first conference

Ten simple rules for attending your first conference.

The Elements of Statistical Learning

Recommended textbook on data mining, statistics, and predictive modeling.

Fundamentals of Data Visualization

A guide to making visualizations that accurately reflect the data, tell a story, and look professional.

CCDL Workshop Materials

Workshop materials from the Childhood Cancer Data Lab.

The Science of Scientific Writing

A guide to revising/improving your scientific writing.