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ComputingLifeSci

A complete computational biology curriculum — 23 courses covering programming, databases, machine learning, genomics and research infrastructure. Written for biologists, not computer scientists.

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Programming for Biology

Python for Biologists
R for Biologists
Perl for Biologists
MATLAB for Biologists
SAS for Biologists
BioJava for Biologists

Data & Databases

SQL for Biological Databases
Bioinformatics Databases
Big Data Mining for Biologists

AI & Machine Learning

Machine Learning for Biologists
Artificial Intelligence for Biologists
MLOps for Biologists
AI Tools for the Bioinformatics Lab

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Nextflow & Snakemake54 chapters

Overview
Module 34: Building NGS Pipelines — General Principles
Module 35: RNA-seq Pipeline
Module 36: WGS Pipeline (Whole-Genome Sequencing — Alignment & Preprocessing)
Module 37: Variant Calling Pipeline (Germline)
Module 38: CNV Pipeline (Copy Number Variant Calling)
Module 39: Somatic Variant Calling Pipeline
Module 40: Fusion Pipeline (Gene Fusion Detection)
Module 41: Single-Cell Pipeline
Module 42: Multiomics Pipeline
Module 43: Benchmarking
Module 44: Best Practices
Module 45: CI/CD and GitHub Actions
Module 46: Real Datasets
Module 47: Complete Hands-On Capstone Projects
Course Conclusion

/Nextflow & Snakemake/Nextflow & Snakemake for Bioinformatics — Part 3 of 3

Chapter 51 of 549 min read

Module 45: CI/CD and GitHub Actions

45.1 Why Pipelines Need CI/CD A pipeline is code , and like any code, it regresses silently without automated testing on every change — someone tweaks a container tag, refactors a channel operator, or updates a…

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