Bioinformatics

This track course has been designed to prepare engineering graduates who can

• Understand the important concepts in biology through the lens of cell and molecular biology.
• Explored recent advances in the field of genomics and proteomics.
• Study of human microbe interactions, including human microbiome and infectious diseases of humans
• Able to demonstrate an understanding of mathematical models of pattern formation, cell-cell communication, and evolutionary systems biology.
• Understand ecology, biotechnology, genetics, evolution, current research, and environmental issues
• Work in coordination with life scientists, chemists, and agriculturists in order to conduct research to find out the engineering aspects of Bioinformatics and AI
• Design tools that aid in the analysis of bioinformatics data
• Develop, design, the building biological networks and creation of database management systems for research work
• Collaborate with life scientists, doctors, and clinical researchers to provide bioinformatic solutions for real-world problems

Overview:

• Bioinformatics is the application of technology that combines Biology with statistics and information technology to explore and understand biological data.
• It makes it possible to have globally accessible databases that enable scientists to submit, search and analyze information
• It offers analysis software for data studies and comparison. Besides provides tools for modeling, visualizing, exploring, and interpreting data.
• The important objective is to convert a multitude of complex data into useful information and knowledge
• Some research areas include the prediction of protein structures, drug discovery and design of new drugs, alignment of gene and protein sequences, regulation of gene expressions and pathways, interactions of biomolecules including proteins, an association of genes with different diseases, drug design utilizing 3-D structure modeling and computational chemistry (Cheminformatics), etc
• Bioinformatics is applicable in several areas of Biology, Chemistry, Pharmaceuticals, Medicine, and Agriculture

Career Opportunities:

• Current biological and medical labs, for instance, are sequencing human genomes.
• Thus modern biological and medical research cannot be done without Bioinformatics
• Research work in the area of genetic diseases and medical genomics is rapidly increasing and the future of personalized medicine depends on bioinformatics approaches
• Some other approaches are designing and manipulating complex databases, Creating web-based analytical tools and algorithms, and Developing new software for projects
• They can work as Bioinformatics Scientists or Bioinformatics Software Developers in several companies
• A core biologist may not be familiar with the statistical and algorithmic knowledge required in this field
• A software/computer professional may also need to be better acquainted with the knowledge of biology and chemistry required to correctly interpret, analyze and manage the data
• Therefore the designed Bioinformatics program strives for a combination of these disciplines providing students with a solid foundation in the biological and computer sciences to prepare the graduate students for opportunities in Hard core Bioinformatics, Biology, Computer science as well as the fast-paced healthcare industry
• Many Indian companies are leading recruiters in the field of Bioinformatics e.g. Satyam, Wipro, TCS, Reliance, Silicon Genetics, Accelrys and IBM Life Sciences Pubgene, Tessella Ranbaxy, GVK Biosciences, Torrent Pharmaceuticals, Dr. Reddy’s Laboratories, CuraGen, Strand Life Sciences, Celera Genomics, etc.

The salary package differs for every job profile.

Course Curriculum:

• The first two years create a very strong base in the fundamentals of Computer Science and Engineering along with an emphasis on Artificial Intelligence, which is needed for any Bioinformatics professional
• 3rd and 4th year of the curriculum provides a sequence of elective subjects exhaustively covering various areas such as Fundamentals of AI and Machine Learning, Cell and Molecular biology, Deep Neural Networks, molecular genetics and engineering, Genomics and Proteomics, Biotechnology tools and Techniques, Mathematical modeling and system biology, Advanced Biology Research