Course Name: Bio-Informatics : Algorithms and Applications

Course abstract

Bioinformatics is an interdisciplinary field of science for analyzing and interpreting vast biological data using computational techniques. In this course, we aim to give a walkthrough of the major aspects of bioinformatics such as the development of databases, computationally derived hypothesis, algorithms, and computer-aided drug design. During the first section of the course, we will focus on DNA and protein sequence databases and analysis, secondary structures and 3D structural analysis. The second section will be devoted to applications such as prediction of protein structure, folding rates, stability upon mutation, and intermolecular interactions. Further, we will cover computer-aided drug design using docking and QSAR studies. This course is designed to nurture skills and knowledge required for aspiring students, young biologists and research scholars to develop algorithms and tools in bioinformatics.


Course Instructor

Media Object

Prof. Michael Gromiha

M Michael Gromiha received his Ph.D in Physics from Bharathidasan University, India and served as STA fellow, RIKEN Researcher, Research Scientist and Senior Scientist at Computational Biology Research Center, AIST, Japan till 2010. Currently, he is working as an Associate Professor at Indian Institute of Technology (IIT) Madras, India. He is teaching courses on bioinformatics, protein structure and function, protein interactions computational techniques, big data analysis and handling computational biology lab. His main research interests are structural analysis, prediction, folding and stability of globular and membrane proteins, protein interactions and development of bioinformatics databases and tools. He has published over 200 research articles, 40 reviews, 5 editorials and a book on Protein Bioinformatics: From Sequence to Function by Elsevier/Academic Press.


Teaching Assistant(s)

Prabakaran R

P.hD

Medha Pandey

P.hD

 Course Duration : Jan-Apr 2020

  View Course

 Enrollment : 18-Nov-2019 to 03-Feb-2020

 Exam registration : 16-Dec-2019 to 20-Mar-2020

 Exam Date : 26-Apr-2020

Enrolled

2737

Registered

82

Certificate Eligible

49

Certified Category Count

Gold

1

Silver

12

Elite

19

Successfully completed

17

Participation

9

Success

Elite

Silver

Gold





Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = Average of best 8 out of 12 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Bio-Informatics : Algorithms and Applications - Toppers list

YASHAS SAMAGA 90%

IIIT Hyderabad

DR PAVITHRA AMRITKUMAR 86%

WOMEN`S CHRISTIAN COLLEGE, CHENNAI

VINEETA SINGH 86%

INSTITUTE OF ENGINEERING & TECHNOLOGY,LUCKNOW

Enrollment Statistics

Total Enrollment: 2737

Registration Statistics

Total Registration : 313

Assignment Statistics




I am extremely thankful to my Professor and the entire team for this wonderful course. I wish to have frequent live session for clarification as reply we get through forum takes time. Also looking eagerly forward for Second part of the course. Hope it will start in coming time. Thanks & Regards


Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.