Suggested preparation: Programming, algorithms, statistics and molecular biology.
Optional preparation: Free MIT Course: Introductory Biology: Genetics, Cells and Molecular Systems.
About this course
Explore algorithms used to study genomes, RNA and protein networks. MIT lectures connect computational methods with biological questions about sequence, structure and interaction.
Topics and lesson examples
- 1. Introduction to Computational and Systems Biology
- 6. Genome Assembly
- 11. RNA Secondary Structure; Biological Functions and Predictions
- 16. Protein Interaction Networks
- 22. Causality, Natural Computing, and Engineering Genomes
Course at a glance
| Provider | MIT |
|---|---|
| Platform | YouTube · MIT OpenCourseWare |
| Access | Free Video |
| Level | Professional — WikiFree study-level assessment |
| Language | English |
| Available lessons | 22 |
| Video duration | 27h 49m · self-paced |
| Details checked | 10 October 2026 |
Preparation and study approach
Suggested preparation: Programming, algorithms, statistics and molecular biology.
Follow the available videos in sequence, pausing to summarize the main argument or reconstruct a worked example. Keep a short list of assumptions, unfamiliar terms and questions to revisit. Additional reading, problem solving and practice will take time beyond the listed video duration.
Using this video classroom
Select a lesson from the list, or search for a topic. Previous and Next move through the sequence. You can mark lessons complete; progress is stored in this browser without a WikiFree account.
Free access and course scope
The public MIT OpenCourseWare videos in this classroom are free to watch. This listing provides the available playlist recordings, which may include selected lectures, recitations, demonstrations or supporting discussions rather than every component of the original campus course. Textbooks, equipment, software licenses, supervised labs, graded assignments and instructor feedback are not supplied by WikiFree. No purchase is required to watch the videos or use the note-based study approach above.
WikiFree independently organizes these resources for self-paced study. Watching does not award an MIT certificate, academic credit or admission to MIT.
Video provider and credit: MIT OpenCourseWare on YouTube. WikiFree titles, descriptions and cover artwork are independently prepared.
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Beginner
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — Free MIT Course: Computational and Systems Biology Foundations | Professional | 1. Introduction to Computational and Systems Biology · 6. Genome Assembly · 11. RNA Secondary Structure; Biological Functions and Predictions | 27h 49m of video; practice time is additional |
| Free MIT Course: Genomics and Computational Biology | Professional | 1A. Intro 1: Computational Side of Computational Biology. Statistics; Perl, Mathematica · 3B. DNA 1 : Genome Sequencing, Polymorphisms, Populations, Statistics, Pharmacogenomics... · 6A. RNA 2: Clustering by Gene or Condition and Other Regulon Data Sources Nucleic Acid ... | 18h 25m of video; practice time is additional |
| Free MIT Course: Systems Biology and Biological Networks | Professional | Introduction to the Class and Overview of Topics · Graph Properties of Transcription Networks · Robustness and Bacterial Chemotaxis | 31h 48m of video; practice time is additional |
| Free MIT Course: Introductory Biology: Genetics, Cells and Molecular Systems | Beginner | 1. Introduction, Course Organization of MIT 7.016 Introductory Biology · 9. Chromatin Remodeling and Splicing · 18. SNPs & Human genetics | 27h 52m of video; practice time is additional |
Provider: MIT. Videos play from the MIT OpenCourseWare channel on YouTube.
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