Trace evolution algorithmically — from sequence to tree.
Understand alignment at the algorithmic level and build publication-quality phylogenetic trees. This course bridges theory and practice — you will implement Needleman-Wunsch from scratch AND produce trees used in real publications.
Curriculum
Every session is hands-on. Every topic comes with practical exercises using real biological datasets.
Outcomes
Concrete, measurable skills you will take away and use immediately in your research or career.
Tools & Software
Course Details
One payment — full access to all course materials, live sessions, and community.
What's included
Who this course is for
Evolutionary biologists · Microbiologists · Molecular epidemiologists · Virologists · PhD students in comparative genomics
Prerequisites
C01–C03 recommended. Basic Python helps but is not required.
Instructor
Dr. Ashraf Akintola
PhD Biomedical Convergence Science and Technology | Bioinformatics Researcher & Educator
With close to a decade of research experience in genomics and computational biology, Dr. Noble has trained researchers across 40+ countries. His hands-on teaching philosophy has made noblekinbio one of Africa's leading bioinformatics education platforms.
What students say
Students from 40+ countries have transformed their careers with noblekinbio courses.
"This program changed how I do research. I went from copy-pasting BLAST results to writing my own pipelines. The hands-on approach is unlike any other bioinformatics course I have taken."
"Dr. Noble explains complex algorithms in a way that finally clicks. I completed C04 and C05 and immediately applied them to our malaria genomics project."
"I was sceptical about an online course being truly hands-on. I was wrong. Every session I was actually running code, not just watching. The Snakemake module alone was worth it."
"C10 gave me the drug discovery computational skills I needed to transition from wet lab to computational research. I have already applied QSAR modelling in my current role."
FAQ
Trace evolution algorithmically — from sequence to tree. Enrol today and get instant access to all course materials.
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