Bioinformatics Data Skills ToC

bds-toc.md

Bioinformatics Data Skills Table of Contents

This may change due to length considerations. Parts in bold are available for early release from O'Reilly.

Part I. Ideology: Data Skills, Robust and Reproducible Bioinformatics

• How to Learn Robust and Reproducible Bioinformatics

Part II. Prerequisites: Setting up a Project, Working with Unix, Version Control, and Data

• Setting up and Managing a Bioinformatics Project
• Remedial Unix Shell
• Working with Remote Machines
• Git for Scientists
• Bioinformatics Data

Part III: Working with Bioinformatics Data

• Working with Plaintext data and the Unix command line data tools
• Basic R: data loading and visualization
• Working with Range/Interval Data
• Working with Sequence Data
• Working with Alignment Data
• Pipelines and Scripts
• Working with Databases