GRADUATE SCHOOL OF INFORMATICSBIOINFORMATICS GRADUATE PROGRAM


About Us

Objectives


In a world where biology has become an information science due to high throughput experimental methods like next generation DNA sequencing, BIOINFORMATICS has emerged as a field of research to meet the challenge of processing the big data produced by diverse experiments and understanding complex biological processes.  

 

Utilizing computer science and statistics along with biology, the field encompasses all aspects of life: From discovering our past through phylogenomics, to understanding the world of the living cell by elucidating biomolecular networks and biological pathways, to transforming 'omics data into insights about disease and ecological systems, bioinformatics is driving new research and shaping the future of agriculture, biotechnology, therapeutics and medicine.


Masters Program in Bioinformatics 


This program focuses on computational techniques and tools for data analysis, theoretical modeling of biological processes, and also design and development of biological tools and databases. The aim of the Bioinformatics program is to design and implement novel methods that can be generalize to a defined class of problems—to focus on the acquisition, representation, retrieval, and analysis of biological data and knowledge. Generally speaking, the program aims at researchers both from science and engineering fields who are interested in biotechnology, pharmacology, life sciences, or related industries, and who wish to broaden or upgrade their skills to follow recent breakthroughs and lead research in the area of Bioinformatics.


Bioinformatics Research Areas


Biomolecular Sequence Analysis

Comparative Genomics

Biomedical Genome Analysis

Microarray Technologies

Protein Expression and Modifications

Protein Interactions

Protein Structure Prediction

Biomedical Proteome Researches

Genetic Networks

Systems Biology

Data Mining

Evolution and Phylogenetics

Structural Bioinformatics

Biologically Inspired Control Systems

Computational Neuroscience