Learn to solve six fundamental bioinformatics problems using Python in this educational video that walks through solutions from the Rosalind platform. Master practical programming techniques for DNA sequence analysis, including finding DNA motifs, calculating point mutations, computing GC content, counting nucleotides, transcribing DNA to RNA, and determining consensus sequences. Follow along with detailed code explanations and examples that demonstrate how to implement bioinformatics algorithms effectively. Access companion Jupyter notebooks on GitHub to practice the implementations while building a strong foundation in both Python programming and computational biology concepts.
Mastering Bioinformatics and Python with Rosalind - Solving DNA Analysis Problems
Overview
Syllabus
Intro
Finding a Motif in DNA https://rosalind.info/problems/subs/
Counting Point Mutations https://rosalind.info/problems/hamm/
Computing GC Content https://rosalind.info/problems/gc/
Counting DNA Nucleotides https://rosalind.info/problems/dna/
Transcribing DNA into RNA https://rosalind.info/problems/rna/
Consensus and Profile https://rosalind.info/problems/cons/
Taught by
Lana Dominkovic
