Algorithms in Computational Biology and Sequence Analysis

By Prof. Chirag Jain | IISc Bangalore

Learners enrolled: 112

ABOUT THE COURSE:

This course is intended to provide a broad overview of fundamental algorithms and data structure to analyse large biological datasets. Several major questions in modern biology such as (i) how to find mutations in a genome sequence, or (ii) how do we trace evolutionary relationships among species, can only be answered using efficient algorithms. This course is particularly relevant for computer science or applied maths students who wish to pursue a career in designing algorithmic solutions for scientific applications. The course includes hands-on programming exercises to appreciate the complexity of real-world data such as the SARS-Cov2 genome database.

INTENDED AUDIENCE: Students with interest in developing algorithms and fast software that are applicable to the emerging biology and genomics applications

PREREQUISITES: Elementary knowledge of discrete mathematics, basic algorithms and data structures is required. Programming proficiency with either C or C++ or Java or Python is required. Knowledge of basic algorithms for sorting, searching, hashing, graph traversal algorithms will be required.

INDUSTRY SUPPORT: Companies developing software for molecular biology and omics applications (e.g., Google Health, Strand Life Sciences)

Summary

Course Status :	Upcoming
Course Type :	Elective
Language for course content :	English
Duration :	12 weeks
Category :	Computer Science Computer Science and Engineering Multidisciplinary Computational Biology
Credit Points :	3
Level :	Undergraduate/Postgraduate
Start Date :	20 Jan 2025
End Date :	11 Apr 2025
Enrollment Ends :	27 Jan 2025
Exam Registration Ends :	14 Feb 2025
Exam Date :	27 Apr 2025 IST

Note: This exam date is subject to change based on seat availability. You can check final exam date on your hall ticket.

Page Visits

Course layout

Week 1: Introduction

Brief review of the fundamentals of molecular biology and genetics.
Examples of widely used software, algorithms, databases.

Week 2: Strings and exact matching

Suffix trees, suffix arrays, BWT, and their applications

Week 3: Pairwise Sequence Alignment

Classic dynamic programming ideas for pairwise sequence alignment.
Statistical measures of alignment significance.

Week 4: Heuristic Sequence Alignment

Mathematical ideas underlying heuristic sequence aligners.
Applications of sequence alignment for mutation finding and disease diagnosis.

Week 5:Genome reconstruction using graph algorithms

de Bruijn Graphs, Overlap graphs, Shortest common superstring

Week 6: Evolutionary tree construction

Multiple sequence alignment – formulations, optimal and approximation algorithms
Classical and contemporary algorithms for inferring evolutionary trees.

Week 7: Sequence models and classification

Gene finding. Hidden Markov models
Large language models for biological sequences

Week 8: Pangenome graphs

Gene finding. Hidden Markov models
Large language models for biological sequences

Week 9: Discussion of research papers

Week 10: Discussion of research papers(Cont.,)

Week 11: Discussion of research papers(Cont.,)

Week 12: Discussion of research papers(Cont.,)

Books and references

There is no textbook required for the course.

For further reading after lectures, the following books can be used:

Genome-Scale Algorithm Design (Veli Mäkinen, Djamal Belazzougui, Fabio Cunial, Alexandru I. Tomescu)
Algorithms on Strings, Trees, and Sequences (Dan Gusfield)
Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids (Richard Durbin, Sean R. Eddy, Anders Krogh, Graeme Mitchison)
Handbook of computational molecular biology (Srinivas Aluru)

Instructor bio

Prof. Chirag Jain

IISc Bangalore

Prof. Chirag Jain is an Assistant Professor and India Alliance Intermediate Fellow in the Department of Computational and Data Sciences at the Indian Institute of Science Bangalore. His research group (https://at-cg.github.io) develops scalable algorithms and software for genomics applications. Prior to his appointment at IISc, he was working as a post-doctoral fellow at the National Institutes of Health USA. He had completed his PhD dissertation in 2019 at Georgia Tech, for which he was awarded the College of Computing Dissertation Award.

Course certificate

The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.

The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).

Date and Time of Exams: EXAM DATE : April 27, 2025 Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.

Registration url: Announcements will be made when the registration form is open for registrations.

The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.

Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

Please note that assignments encompass all types (including quizzes, programming tasks, and essay submissions) available in the specific week.

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IISc Bangalore .It will be e-verifiable at nptel.ac.in/noc.

Only the e-certificate will be made available. Hard copies will not be dispatched.

Once again, thanks for your interest in our online courses and certification. Happy learning.

- NPTEL team