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Algorithms in Computational Biology and Sequence Analysis
Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 1000 | yes | IISc Bangalore |
The Syllabus
- Brief review of the fundamentals of molecular biology and genetics.
- Examples of widely used software, algorithms, databases.
- Suffix trees, suffix arrays, BWT, and their applications
- Classic dynamic programming ideas for pairwise sequence alignment.
- Statistical measures of alignment significance.
- Mathematical ideas underlying heuristic sequence aligners.
- Aplications of sequence alignment for mutation finding and disease diagnosis.
- de Bruijn Graphs, Overlap graphs, Shortest common superstring
- Multiple sequence alignment – formulations, optimal and approximation algorithms
- Classical and contemporary algorithms for inferring evolutionary trees.
- Gene finding. Hidden Markov models
- Large language models for biological sequences
- Gene finding. Hidden Markov models
- Large language models for biological sequences
Instructors
Articles
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