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)

Ambuj

Ph.D., Biotechnology

Sherlyn Jemimah

Ph.D. in Computational Biology

 Course Duration : Jan-Apr 2019

  View Course

 Syllabus

 Enrollment : 15-Nov-2018 to 28-Jan-2019

 Exam registration : 28-Jan-2019 to 19-Apr-2019

 Exam Date : 28-Apr-2019

Enrolled

2262

Registered

289

Certificate Eligible

233

Certified Category Count

Gold

3

Silver

28

Elite

83

Successfully completed

119

Participation

12

Success

Elite

Silver

Gold





Legend

>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed
<40 - No Certificate

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
Top 1 % of Certified Candidates

HARPREET SINGH 91%

HANS RAJ MAHILA MAHA VIDYALAYA JALANDHAR

ANIKET THOMAS 90%

SHRI MATA VAISHNO DEVI UNIVERSITY

ABHINANDAN DAS 90%

INSTITUTE OF GENETIC ENGINEERING


Top 2 % of Certified Candidates

SUSHMA RANI MARTHA 88%

ODISHA UNIVERSITY OF AGRICULTURE & TECHNOLOGY

SUJATA ROY 87%

RAJALAKSHMI ENGINEERING COLLEGE


Top 5 % of Certified Candidates

DR. SHAKUNTALA GHORAI 86%

RAIDIGHI COLLEGE

LOPAMUDRA HOMCHAUDHURI 85%

ASSAM DON BOSCO UNIVERSITY

PRANITA BHATELE 85%

MATA GUJRI MAHILA MAHAVIDYALAYA

HIMANSHU TAHILIANI 84%

CENTRAL UNIVERSITY OF RAJASTHAN

PARVINDER KAUR 83%

AMAR SHAHEED BABA AJIT SINGH JUJHAR SINGH MEMORIAL COLLEGE, BELA, ROPAR

KIRTI DUBLI 83%

HISLOP COLLEGE

ABHISHEK SINGH CHAUHAN 83%

MG INSTITUTE OF MANAGEMENT & TECHNOLOGY

Enrollment Statistics

Total Enrollment: 2262

Registration Statistics

Total Registration : 289

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.