Manish K Gupta | Room 2209 Faculty Block 2 | mankg [at] daiict.ac.in | Phone: 91-79-30150549 |
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Overview
Did you ever wonder what is the recipe for making us who we are,
with 3.5 billion letters of A, C, G and T? What is the difference
between mouse and Humans at molecular level? What happens when a
virus attacks us? How are all forms of life related? I think many
of you have several such questions at some stage of your life and
still don't know the answer. You will be surprised to know that now
with a degree in Information and Communication Technology (ICT) you
can be really close to finding answers to many such questions with
interdisciplinary approach of using mathematics, computer science,
statistics, molecular biology, physics, electrical engineering,
communication etc. Many aspects of molecular biology can be viewed
as information processing and so molecular biology and computer
science are very close to each other. It is for this reason one
can say that the 21st century is for molecular biology.
This course covers basic techniques mainly algorithmic
in nature to answer many questions in molecular biology. We will go
through this journey with many case studies
Tentative Course Content
1. Introduction
2. Sequencing and Microarray
3. Genome assembly
4. Tools and Databases
5. Computational gene hunting (gene predication -HMM)
6. Alignment of bio-molecular sequences (Local, Global, DP, Blast, multiple)
7. Genomic regulation
8. Protein folding
9. Genetic variation
10.RNA world
11. Systems Biology (gene, protein and membrane machine)
--Human and Pathogens
--Cancer genomics (Tumor complexity)
--Gene regulatory networks
12. Codon optimization
13. Algorithmic Drug designs
Text Book
There is no specific text book but the following books will be helpful. Specially the book by Pevzner. We will provide many additional material such as videos, handouts etc during the course. You do not have to purchase any book.
Additional Material:
Assignments - 10%
Mid Term -20%
Scribes -10%
Projects -20 %
Final- 40%
Lectures
Group-D, Tue (11:00), Wed (9:30), Fri (11:00), CEP 108
Tutorials
None
Labs
None