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This course is an introduction to computational biology emphasizing the fundamentals of nucleic acid and protein sequence and structural analysis
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3
English
English [CC]
FREE
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Description
it also includes an introduction to the analysis of complex biological systems. Topics covered in the course include principles and methods used for sequence alignment, motif finding, structural modeling, structure prediction and network modeling, as well as currently emerging research areas.
Course content
- Course Introduction Unlimited
- Local Alignment (BLAST) and Statistics Unlimited
- Global Alignment of Protein Sequences (NW, SW, PAM, BLOSUM) Unlimited
- Comparative Genomic Analysis of Gene Regulation Unlimited
- Library Complexity and Short Read Alignment (Mapping) Unlimited
- Genome Assembly Unlimited
- ChIP-seq Analysis; DNA-protein Interactions Unlimited
- RNA-sequence Analysis: Expression, Isoforms Unlimited
- Modeling and Discovery of Sequence Motifs (Gibbs Sampler, Alternatives) Unlimited
- Markov and Hidden Markov Models of Genomic and Protein Features Unlimited
- RNA Secondary Structure–Biological Functions and Prediction Unlimited
- Introduction to Protein Structure Unlimited
- Predicting Protein Structure Unlimited
- Predicting Protein Interactions Unlimited
- Gene Regulatory Networks Unlimited
- Protein Interaction Networks Unlimited
- Logic Modeling of Cell Signaling Networks Unlimited
- Analysis of Chromatin Structure Unlimited
- Discovering Quantitative Trait Loci (QTLs) Unlimited
- Human Genetics, SNPs, and Genome Wide Associate Studies Unlimited
Instructor
Massachusetts Institute of Technology
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