PickAClass · AI Applications (Interdisciplinary) · AI for Medicine & Diagnostics

AI for Genomics & Proteomics

Apply AI and machine learning techniques to analyze large-scale genomic and proteomic data for disease research, variant calling, and understanding biological pathways.

AI for Genomics & Proteomics

Genomics, Proteomics, and Interactomics: A Foundation in Systems Biology

Genomics Data Analysis with Web Resources

Programming and Database Fundamentals for Genetics

Using Human Genome Databases to Analyze Genes and Variants

Genomic Admixture Science: Predicting Health in Diverse Populations

Genomic Data Science and Sequencing Analysis

Introduction to Genomics and Next-Generation Sequencing

Applied Plant Bioinformatics and Genomics

Python for Genomic Data Science Foundations

String Algorithms and Pattern Matching

DNA Sequencing Algorithms and Python Implementations

Command Line Essentials for Genomic Data Analysis

Gene Expression Analysis: From RNA-seq to Functional Insights

Bioinformatics for Large-Scale Biological Data Analysis

Genomic Data Analysis with Bioconductor

Statistical Genomics for Data Science

Genome Assembly Programming and Bioinformatics Fundamentals

Genome Sequencing and Assembly with Graph Theory

Bacterial Genomic Analysis with BV-BRC

Introduction to Plant Bioinformatics and Genomic Data

Bioinformatics: Comparing Genes, Proteins, and Genomes

Genomic Data Science: Clustering and Pattern Recognition

Systems Biology: Integrated Data Analysis for Beginners

Genomic Mutation Analysis: Mapping DNA and Proteins