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This course is an introduction to computational biology emphasizing the fundamentals of nucleic acid and protein sequence and structural analysis; it also includes an introduction to the analysis of complex biological systems.
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English
English [CC]
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Description
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
- Introduction to Computational And Systems Biology 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
- Game Assembly Unlimited
- Chip-seq Analysis; DNA-protein Unlimited
- RNA-sequence Analysis: Expression, Isoforms Unlimited
- Modeling And discovering Of Sequence Motifs Unlimited
- RNA Secondary Structure – Biological Functions and Prediction Unlimited
- Introduction to Protein Structure; Structure Comparison and Classification Unlimited
- Predicting Protein Interactions Unlimited
- Gene Regulatory Networks Unlimited
- Protein Interaction Networks Unlimited
- Logical 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
- Synthetic Biology: From Parts To Modules To Therapeutic Systems Unlimited
- Causality, Natural Computing, and Engineering Genomes Unlimited
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Instructor
Massachusetts Institute of Technology
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