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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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BioJava for Biologists85 chapters

Overview
Case Study 32.1 — Genome Annotation
Case Study 32.2 — Protein Structure Analysis
Case Study 32.3 — Variant Annotation
Case Study 32.4 — Sequence Alignment
Case Study 32.5 — Phylogenetics
Case Study 32.6 — Protein Property Prediction
Case Study 32.7 — Drug Discovery
Case Study 32.8 — Clinical Bioinformatics

/BioJava for Biologists/PART 32 — Case Studies

Chapter 43 of 851 min read

Case Study 32.2 — Protein Structure Analysis

Scenario: A structural biology team wants to characterize a newly solved protein structure's key features before publication. Approach: Load the structure via (Part 20), enumerate chains/residues/atoms, calculate the…

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