Programmes

Department of Systems and Computational Biology

Integrated MSc in Systems Biology (IMSc Systems Biology)

Currently, the department is offering a 5 year Integrated Masters course in Systems Biology (IntMSc(Syst Biol)). This is offered in conjunction with College of Integrated Studies (CIS), University of Hyderabad. This course encompasses an interdisciplinary approach that is developed with changing nature of current biological research, wherein students are trained in analyzing complex molecular systems and high-throughput biological data. Many of the students of IntMSc(Syst Biol) are either placed in biologicals/pharma companies or pursuing their PhDs and beyond in the University of Hyderabad or other universities and research institutes in India and abroad.

Syllabus-IMSc Systems Biology

Two-year MSc in Systems and Computational Biology
Objectives:

1: To impart comprehensive skills in interdisciplinary areas of Life Sciences and their applications to understand biological systems.

2: To apply “systems” approaches such as mathematical modelling or networks, to understand complex biological systems.

3: To use computational skills such as programming and data analytics, to analyse large-scale biological data and to develop prediction/classification protocols.

4: To research/investigate a biological problem by finding gaps, designing experiments, carrying out relevant wet/dry lab experiments and analysing results.

5: To communicate effectively the concept, logic, interpretation and applicability of research outcomes and acquired knowledge.

Programme

Duration (Sems)

Intake

Minimum Credits Required

Two-year MSc in Systems and Computational Biology

12

  

84
Admission: Through CUET-PG

Syllabus-MSc Systems and Computational Biology

PhD in Systems and Computational Biology

The current research interests of the faculty in the department are in the topical diverse areas of Systems and Computational biology, and selected ones are listed below:

  • Biological networks Spatio-temporal dynamics of protein-protein interaction networks in human health and disease conditions.
  • Disease Informatics & Biomarker discovery
  • Prediction and modelling of disease causing mutations in human proteins.
  • Identification of potential prognostic signature for predicting survival in cancers.
  • Protein evolution, structure and interactions Evolution, Conformational landscape and functions of intrinsically disordered regions in proteins.
  • Non-coding RNA biology Identification and characterization of novel long non-coding RNAs.
  • Metagenomics Metagenome analysis of gut and root microbiota in healthy and disease conditions and also of soil bacteria found near industrial effluent treatment plants.
  • Integration of high-throughput data Integration of various omics data for gene knowledge mining and improvement of genome annotation.

The faculty members, in the past, have been the recipients of grants from national agencies such as CSIR, DST, DBT etc., and have been part of long-term national and international collaborative research grants (in collaboration with Rostock Medical Centre, Germany and University of Madeira. Portugal). Currently, the department has received research support from DBT and UoH-IoE. The department is poised to grow rapidly and is optimistically looking forward to getting associated with eminent professors/scientists at various stages of their career building.

Three new short-term courses:

  1.   “Advances in AI-powered Molecular Modelling” by Dr. Moumita Saharay and Prof. H.A.Nagarajaram (More Details)
  2.  ” Computation with R” by Dr Manjari Kiran (More Details)
  3.  “NGS data analysis for transcriptomics” by Dr. Vivek (More Details)

Please visit individual faculty members webpages to see the details of their research