Practical Computer Concepts For Data Scientists

Practical Computer Concepts For Data Scientists

Matthew Curcio
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Table of Contents

Practical Computer Concepts For Data Scientists

  • Chapter 2 - Genomic Data Science With Galaxy
    • 2.1 - First Steps: Register with Galaxy
    • 2.2 - Exercise # 1: Investigating SNP on a chromosome
    • 2.3 - Exercise # 2: FASTA & FASTQ file formats
    • 2.4 - Exercise # 3: ChIP-Seq analysis with MACS
    • 2.5 - Exercise # 4: RNA-Seq
    • 2.6 - Exercise # 5: RNA-Seq of 3 family members
  • Chapter 5 - Command Line Tools for Genomic Data Science
    • 5.1 Transcriptomic RNA-Seq Analysis
    • 5.X - Papers on the Topic of RNA-Seq
  • Appendix A: Installing Ubuntu Linux
  • Appendix B: Getting Python 3.x On Your Computer
    • B.1 Get Anaconda Python
    • B.2 Excellent Learning Resources:
    • B.3 The Very Basics of Programming Strategies
  • Appendix C: Just Enough Git
    • C.1 - Get Git
    • C.2 - Set up your first Project / Repository
    • C.3 - Cloning a repository
    • C.4 - The 5 most useful git commands
Practical Computer Concepts For Data Scientists/Overview

Practical Computer Concepts For Data Scientists

Course overview

5 chapters
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The Book

Practical Computer Concepts For Data Scientists5 chapters

Begin ›
  1. Chapter 2 - Genomic Data Science With Galaxy

  2. Chapter 5 - Command Line Tools for Genomic Data Science

  3. Appendix A: Installing Ubuntu Linux

  4. Appendix B: Getting Python 3.x On Your Computer

  5. Appendix C: Just Enough Git