Course Name: BioInformatics: 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)

Sherlyn Jemimah

M.Tech., Bioinformatics, (Ph.D., Computational Biology)

Ambuj Srivastava

Ph.D., Computational Biology

Prabakaran R

Research Scholar, Computational Biology

 Course Duration : Jan-Apr 2018

  View Course

 Enrollment : 20-Nov-2017 to 22-Jan-2018

 Exam registration : 08-Jan-2018 to 07-Mar-2018

 Exam Date : 28-Apr-2018

Enrolled

1837

Registered

248

Certificate Eligible

180

Certified Category Count

Gold

2

Silver

0

Elite

50

Successfully completed

128

Participation

15

Success

Elite

Gold





Legend

>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate

Final Score Calculation Logic

  • Assignment Score = Average of best 6 out of 8 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
BioInformatics: Algorithms and Applications - Toppers list
Top 1 % of Certified Candidates

VIKAS KAUSHIK 90%

LOVELY PROFESSIONAL UNIVERSITY

RAJNI SHARMA 90%

Punjabi University, Patiala


Top 2 % of Certified Candidates

GURINDER KAUR BINNER 87%

BINNER COACHING CENTRE

MANISHA MISHRA 86%

VEDANTU INNOVATIONS PRIVATE LIMITED, BANGALORE


Top 5 % of Certified Candidates

MAINAK BHATTACHARJEE 83%

HERITAGE INSTITUTE OF TECHNOLOGY

YOGITA LUGANI 78%

PUNJABI UNIVERSITY, PATIALA

SUMIT GOVIL 76%

JAIPUR NATIONAL UNIVERSITY

DR. MEENAKSHI VACHHER 76%

INSTITUTE OF HOME ECONOMICS

JOHNY IJAQ 76%

OSMANIA UNIVERSITY

Enrollment Statistics

Total Enrollment: 1837

Data Not Found..!
Data Not Found..!

Assignment Statistics




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.