Ph. D in Bioinformatics

Alagappa University
In Tirupattur

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Important information

  • Master
  • Tirupattur
  • Duration:
    3 Years
Description

The focus of the Bioinformatics program is to train the next generation of bioinformatics researchers for academia and industry and also to meet demand from the Pharmaceutical, Biomedicine, Medical informatics and biotechnology industries.

Important information
Venues

Where and when

Starts Location
On request
Tirupattur
Registrar Alagappa University Karaikudi, 630003, Tamil Nadu, India
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Frequent Asked Questions

· Requirements

Degree at Post Graduate level in Bioinformatics or Biological Sciences (Biotechnology, Life Sciences, Botany, Zoology, Biochemistry, Microbiology etc) /Chemistry/Bio-Physics/ Veterinary Science / Agriculture / Fisheries Sciences / Pharmacy / Medicine or other related area with not less than 55% mark in the aggregate is eligible for registration for the Degree of Doctor of Philosophy.

Course programme

The study of PG course of bioinformatics includes the areas of development of new computational methods for studying organization and evolution of genes and genomes, computational approaches to macromolecular structure and dynamics and simulation, comparative evolutionary genomics, Drug design & discovery, pharmacogenomics, algorithm development, data base development, sequence analysis, data mining, Prediction and analysis of structure etc. Department of Bioinformatics, Alagappa University is now broadening its scope to include a Ph.D program in Bioinformatics. To further strengthen teaching and research environment in the department. The mission of the Bioinformatics Ph.D Program is to prepare scholers to reach the forefront of leadership in the field of bioinformatics and computational biology; and to integrate research and education on information technologies in biology, medicine, Agricultural and Veterinary Sciences, Fisheries Sciences.

Research Areas focused by faculties in the Department

  • Molecular Modeling & Drug Designing
  • Cheminformatics
  • Pharmacoinformatics
  • Quantum Pharmacology
  • Pharmacogenomics & Molecular Evolution
  • Algorithm & Data base Development
  • Human Molecular Genetics and Gene Expression analysis
  • Sequence Analysis
  • Data and text Mining


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