Course Name: Introduction To Proteomics

Course abstract

This course introduces to the basic biology of proteins and the new advanced science called as proteomics which aims to look into the protein properties from a global perspective, i.e., not undertaking one protein at a time, but an entire set of proteins in the milieu. The course will cover in detail the two major aspects of proteomics i.e., Gel-based proteomics and Mass spectrometry-based proteomics. The gel-based module will cover different techniques like SDS-PAGE, 2-DE, 2D-DIGE etc. These techniques had a major contribution in transition from protein chemistry to proteomics. Mass spectrometry, on the other hand, is an advanced analytical technique for accurate mass measurement. In this module, we will discuss the basics of mass spectrometry, sample preparations, liquid chromatography, hybrid mass spectrometers and quantitative proteomics techniques such as iTRAQ, SILAC and TMT using mass spectrometry. The course will also provide the basic knowledge about sample preparation, mass spectrometry workflow, different chromatography technologies and quantitative proteomics.


Course Instructor

Media Object

Prof. Sanjeeva Srivastava

He is the Group Leader for the Proteomics Laboratory at the Indian Institute of Technology Bombay India -IITB. He obtained his Ph.D. from the University of Alberta and post-doc from the Harvard Medical School in the area of proteomics, stress physiology and has specialized expertise in applications of data enabled sciences in global health, developing country and resource limited settings.

Prof. Srivastava has considerable experience for teaching proteomics courses and conducting hands-on crash-courses on proteomics at IIT Bombay and many other institutes. Apart from the regular research work, Dr. Srivastava has been actively involved in the development of various proteomics e-Learning & Open-Learning curriculums and Virtual Lab initiatives at IIT Bombay generated with an intention to disseminate high-quality educational materials on proteomics at a global scale Ray et al., PLoS Biol. 2012; Ray et al., J Proteomics. 2012; Srivastava et al., Nature 2013.

These Virtual Lab initiatives have been included as a part: Tutorial- IPTP 14 of the International Proteomics Tutorial Programme : supported by Human Proteome Organization - HUPO and European Proteomics Association (EuPA)). Dr. Srivastava teaching efforts has provided him Excellence in Teaching Award in IIT Bombay.

Prof. Srivastava envisions designing novel-framework by linking proteomics and big data for the disruptive innovation by collective intelligence and actionable foresight. He believes strongly in trans-generational capacity building in science, bioengineering and 21st century knowledge society advance the proteomics knowledge for the benefits of global health.


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Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Sep-Nov 2020

  View Course

 Enrollment : 20-May-2020 to 21-Sep-2020

 Exam registration : 14-Sep-2020 to 02-Nov-2020

 Exam Date : 19-Dec-2020

Enrolled

1952

Registered

217

Certificate Eligible

160

Certified Category Count

Gold

2

Silver

45

Elite

84

Successfully completed

29

Participation

40

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 6 out of 8 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Introduction To Proteomics - Toppers list
Top 1 % of Certified Candidates

RANJIT SHAW 90%

BANARAS HINDU UNIVERSITY

PRIYANKA THAKUR 90%

BANARAS HINDU UNIVERSITY


Top 2 % of Certified Candidates

RITWIJA MAITY 87%

BANARAS HINDU UNIVERSITY

SHYNU M 87%

College of Veterinary and Animal Sciences, Pookode

MANDAVI PANDEY 87%

BANARAS HINDU UNIVERSITY


Top 5 % of Certified Candidates

SHEETAL CHAUHAN 86%

BANARAS HINDU UNIVERSITY

NAINA MAKKERR 86%

BANARAS HINDU UNIVERSITY

ARPAN BHATTACHARYYA 86%

BANARAS HINDU UNIVERSITY

Enrollment Statistics

Total Enrollment: 1952

Registration Statistics

Total Registration : 217

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.