🧬Artificial Intelligence in Molecular Biology and Genetics

Basic Sciences & Environment · 11 units · free, no membership

1 Introduction to Artificial Intelligence in Molecular Biology and Genetics: Roles, Boundaries, Validation, Ethics and Privacy

2 DNA/RNA Sequence Analysis: Alignment, Motif, Open Reading Frame and Basic Bioinformatics

3 Variant Interpretation: Pathogenicity by VCF, HGVS Designation, and ACMG Criteria

4 Protein Structure and AlphaFold: Reading Structure Prediction, Confidence Scores, and Validation

5 CRISPR Design Support: gRNA Selection, Off-Target Effect, and Experimental Validation

6 Omics Data Analysis: RNA-seq, Expression, Statistics and Pathway Enrichment

7 Literature Review and Scientific Writing: Source Verification and the Risk of False Citations

8 Clinical Interpretation: Reporting, Expert Approval, Validation, and Limits

9 The Discipline of Hallucination and Authentication: Made-up Genes, Sequences, Variants, and Attributions

10 Ethics, Privacy and Data Protection: Special Responsibility of Genetic Data

11 End-to-End Case: A Variant's Journey from Discovery to Clinical Report

All trainings Start from unit 1