2
This course covers the algorithmic and machine learning foundations of computational biology combining theory with practice.
FREE
This course includes
Hours of videos
333 years, 3 months
Units & Quizzes
12
Unlimited Lifetime access
Access on mobile app
Certificate of Completion
We cover both foundational topics in computational biology, and current research frontiers. We study fundamental techniques, recent advances in the field, and work directly with current large-scale biological datasets
Course Currilcum
- Introduction: Course overview, biology, algorithms, machine learning Unlimited
- Alignment I: Dynamic programming, global and local alignmen Unlimited
- Alignment II: Database search, rapid string matching, BLAST, BLOSUM Unlimited
- Hidden Markov Models Part 1: Evaluation/parsing, Viterbi, forward algorithms Unlimited
- Hidden Markov Models Part 2: Posterior decoding, learning, Baum-Welch Unlimited
- Expression Analysis: Clustering/classification, k-means, hierarchical, Bayesian Unlimited
- Networks II: Network learning, structure, spectral methods Unlimited
- Regulatory Motifs: Discovery, representation, PBMs, Gibbs sampling, EM Unlimited
- Epigenomics: ChIP-seq, read mapping, peak calling, IDR, chromatin states Unlimited
- Comparative genomics and evolutionary signatures Unlimited
- Phylogenetics: Molecular evolution, tree building, phylogenetic inference Unlimited
- Personal genomics, disease epigenomics: Systems approaches to disease Unlimited
