e-learning
Introduction to sequencing with Python (part two)
Abstract
About This Material
This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.
Questions this will address
- What is FASTQ format
- How do I parse FASTQ format with Python
- How do I decide whether my data is good or not?
Learning Objectives
- Understand manipulation of FASTQ data in Python
- Understand quality metrics
Licence: Creative Commons Attribution 4.0 International
Keywords: Foundations of Data Science, jupyter-notebook
Target audience: Students
Resource type: e-learning
Version: 3
Status: Draft
Learning objectives:
- Understand manipulation of FASTQ data in Python
- Understand quality metrics
Date modified: 2024-02-20
Date published: 2024-01-23
Scientific topics: Software engineering
External resources:
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