M.SC. BIOINFORMATICS

Last two decades have witnessed the emergence of Bioinformatics as a major thrust area in the global scientific scenario. It is the interface between the two most rapidly advancing fields of biological and computational sciences. Bioinformatics is a scientific discipline and asset of skills that has now become one of the most important information gathering, data mining, and knowledge building tools in recent research and clinical applications.


In the current pandemic bioinformatics has played a major role in studying the genomics of COVID-19. It helped in studying the impact of various drugs such as Hydroxychloroquine, Remdesivir, etc on COVID with the help modern computer science that includes cloud computing, statistics, mathematics and even pattern recognition, reconstruction, machine learning, simulation and iterative approaches, and molecular modelling /algorithms. 


Bioinformatics came out as one of the essential tools to analyze viral data as it provides vital information about the genetic makeup of the virus and also assists directly in the development of drugs or vaccines against the deadly disease by using various approaches out of which machine learning in drug discovery has played a very crucial role  as the technological and paradigm shift to machine learning seen in the pharmaceutical industry enables researchers to use novel computational algorithms to support the process. As biomedical data are highly complex, using algorithms in designing new drugs has become more possible than it has ever been.


Bioinformatics has played a major role in gene sequencing diagnostics and has been an essential tool to investigate the genetic causes of disease. The massively parallel sequencing technology known as next-generation sequencing (NGS) has revolutionized the biological sciences. With its ultra-high throughput, scalability, and speed, NGS enables researchers to perform a wide variety of applications and study biological systems at a level never before possible.


Today's complex genomic research questions demand a depth of information beyond the capacity of traditional DNA sequencing technologies. Next-generation sequencing has filled that gap and become an everyday research tool to address these questions that can play an important part in the support and continued development of precision medicine.


Furthermore, the pharmaceutical industry has moved from the trial and error process of drug discovery to a rational and structure-based drug design. With a successful and reliable drug design process, the time and cost of developing effective pharmacological agents can be reduced. The process of drug target identification and drug candidate screening can be accelerated, and safer/more effective drugs can be developed based on molecular modelling and simulation.


Bioinformatics is used in personalized medicine to analyse data from genome sequencing or microarray gene expression analysis in search of mutations or gene variants that could affect a patient’s response to a particular drug or modify the disease prognosis which could help to identify the best gene target site for each individual by taking their genetic profile into consideration for Gene Therapy. This can reduce the risk of unintended side effects.


Scope after doing the course:

    • 100 % placements since the course started, in companies and Training institutes like Cenveo Publishing, SALT, Skyscape, G.N.Khalsa College,Gebbs Healthcare, Thyrocare,ACTREC,TCS,NIRRH,FMR,HERE Technology,IQVIA,LEVRAM,The GeneBox,genpact,Vasta,cipla etc.

    • Students have bright careers in the field of research and development, technical sales and marketing, IT, Pharmaceuticals, computational biologist, biostatistician etc.

    • Various other roles such as Science Technician, Research Assistant, Bioinformatics Scientist, Bioinformatics Analyst, Junior Research Fellow, Research Associate, Bioinformatics Software Developer.

Eligibility:
  • Bachelor degree from a recognized university in any of the following disciplines:

    • Science (Biochemistry, Biology, Botany, Biotechnology, Chemistry, Environmental    Science, Life Sciences, Physics, Mathematics, Microbiology, Statistics or Zoology) 

    • Agriculture

    • Medicine

    • Pharmacy

    • Veterinary Science

    • Computer Science

Major course contents:
    • Fundamentals of Biology

    • Bioinformatics and Sequence Analysis

    • Biostatistics

    • Introduction to Programming Languages and Databases

    • Advance Biology

    • Structural Biology & Bioinformatics

    • Genomics and Proteomics in Bioinformatics

    • Basic and Advanced Java, Introduction to Linux

    • Separation techniques

    • Cheminformatics & Drug Designing

    • Immunology and Immunoinformatics

    • Introduction to Perl and Mongodb

    • Mass Spectroscopy, Research Methodology and Scientific Writing

    • Molecular Modeling and Simulations

    • Clinical Research and Clinical Data Management

    • Python,Biopython

Salient Features of the course:
    • An understanding of the origins of biological data,  as well as how to manipulate them and  determine their quality.

    • Bridging the gap between data science and  biomedicines with the help of bioinformatics.

    • Hands-on experience in applying the latest  computational tools and methods for  development of new drugs and diagnostic tools.

    • Dissertation Research Projects are completed in collaboration with NIRRH, BARC, IITB, BDG Life Sciences,ACTREC, etc.

    • Publications inInternational/National Journals.

    • Students are trained to develop new bioinformatics tools/software’s using various languages like C++, Perl,Python,Java,MongoDB,  Android,AI,etc.

    • Students are encouraged to participate in Avishkar Competition, conferences & workshops.

    • Hands-on training on instruments and software’s like HPTLC, HPLC, GC, IR, UV-Visible spectrophotometer,PCR, DNA Sequencing, PyRx,  MD simulations, Pharmacophore mapping,  AutoDock,etc.

    • Virtual lab training is available in the department of  bioinformatics in collaboration with IITB.

Members of the Department:

 Faculty Name Qualification Designation Email Id
 Dr. Gursimran Kaur Uppal Ph.D, M.Sc., B.Ed HOD,Assistant Professor gursimran.uppal@gnkhalsa.edu.in
 Mrs. Aparna Patil Kose P.hD ongoing, M.Sc.,B.Ed Lecturer aparna.patil@gnkhalsa.edu.in
 Mrs. Sermarani Nadar M.Sc. IT Lecturer sermarani.nadar@gnkhalsa.edu.in