Quantitative Skills Resources

Biomedical research increasingly requires the ability to collect, process, and analyze data quantitatively. This page is a collection of resources available to UNC researchers, both on-campus and virtually. If you know of other resources that may be useful to others, let us know.

Workshops through Health Sciences Library: HSL offers a suite of individual sessions on topics related to bioinformatics and computational biology. A sampling of the workshops offered are listed below. For course availability, schedule, and further details, please click here.

• Introduction to UNIX for Biologists
• Introduction to Sequencing Technology
• Introduction to Analysis of Next Generation Sequencing Data
• Introduction to Protein Data Bank and Pymol
• Browsing Genes and Genomes with Ensembl and Ensembl Genomes (Full day workshop)

Online Resources

Probability and Statistics Descriptive Statistics (mean, median, box-and-whisker plots, variance, standard deviation) Random Variables & Probability Distributions Regression Normal Distribution Sampling Distribution (Central Limit Theorem, Standard Error) Confidence Intervals Hypothesis Testing One Sample Two Samples Chi-Square ANOVA	Mathematical Biostatistics Bootcamp Case-based Introduction to Biostatistics The Data Scientist’s Toolbox Bioinformatic Methods I Bioinformatic Methods II Data Analysis and Statistical Inference Programming with “R” Regression Models Reproducible Research

Other Online Resources

• Harvard Data Science Course
• Step-by-Step Data Science Course (SlideRule)