Bioinformatics Learning: From Sequences to Structures
“A 4-week intensive roadmap designed to equip learners with the foundational skills in bioinformatics, focusing on using Python and R for genomic sequence analysis, understanding protein folding in the context of AlphaFold, and manipulating biological data structures. The curriculum emphasizes practical application and leverages official and university-level resources.”
Week 1: Foundations of Bioinformatics & Python for Biology
By the end of this module you will be able to write basic Python scripts to manipulate DNA/RNA sequences, understand common biological data formats, and perform simple sequence analysis tasks.
Topics
Week 2: Advanced Python for Genomics & Biopython
By the end of this module you will be able to use Biopython to perform sequence alignment, construct basic phylogenetic trees, and parse various biological file formats like GenBank and PDB.
Week 3: Introduction to R for Biological Data Analysis & Statistics
By the end of this module you will be able to use R for data manipulation, perform basic statistical analyses on biological datasets, and create informative visualizations using ggplot2.
Week 4: Protein Structure, AlphaFold & Omics Data Integration
By the end of this module you will be able to conceptually understand protein folding and the impact of tools like AlphaFold, interpret protein structure data, and discuss strategies for integrating multi-omics datasets.
References
Week 1: Week 1: Foundations of Bioinformatics & Python for Biology
Week 2: Week 2: Advanced Python for Genomics & Biopython
Week 3: Week 3: Introduction to R for Biological Data Analysis & Statistics
Week 4: Week 4: Protein Structure, AlphaFold & Omics Data Integration
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