Biology is overwhelmed with data. The various genome projects are generating, with increasing ease, vast gigabases of DNA sequence, which have stimulated the development of high-throughput assays to provide comprehensive post-genomic analysis. The prime directive of structural genomic analysis is the complete and accurate elucidation of the DNA sequence of a representative haploid genome of a given species. When this sequence is known, it opens the door to numerous possibilities.
Genome Biology covers all areas of biology and biomedicine studied from a genomic and post-genomic perspective. Content includes research, new methods and software tools, and reviews, opinions and commentaries. Areas covered include, but are not limited to: sequence analysis; bioinformatics; insights into molecular, cellular and organismal biology; functional genomics; epigenomics; population genomics; proteomics; comparative biology and evolution; systems and network biology; genomics of disease; and clinical genomics.
The power of computers combined with advanced biological analysis has opened up exciting new possibilities for discovery. Designer genes that ensure a desired characteristic — say, blue eyes, genius level IQ, pearly white teeth or marathon running capabilities, perhaps? How about therapeutics that are personalised to your genetic makeup in order to be more effective? Ever wondered about growing synthetic organs in the laboratory for transplants? Or the prospect of solving a complex murder case with just one skin cell they happened to leave behind at the crime scene? Or simply, cows that give milk enriched for Vitamin D?
Computational Biology and Bioinformatics are concerned with solving biological and biomedical problems using mathematical and computational methods. They are recognized as essential elements in modern biological and biomedical research. There have been fundamental changes in biology and medicine over the past two decades due to spectacular advances in high throughput data collection in the fields of genomics, proteomics and biomedical imaging. The resulting availability of unprecedented amounts of biological data demands the application of advanced computational tools to build integrated models of biological systems, and to use them to devise deliverable strategies to prevent or treat disease. Computational Biologists inhabit and expand the interface of computation and biology, making them integral to the future of biology and medicine.
Computational Biology is a growing field not only in academia, but also in industry. Major players in computation and medicine have invested heavily in computational biology, including Google, Microsoft, Life Technologies, Lockheed Martin, Roche and Merck. This field has garnered much interest from venture capital and economy watchers.
We provide Genomics and computational biology course in two levels as Professional Designation for undergraduate students and Advance PG Program for Graduated Students. The details of the courses are as below:
Computational biology has been recognized as a field independent of its parent disciplines (computer science and biology) for just 15 years. For those seeking work in the field, it has been 15 tumultuous years. Employment in computational biology has gone through rapid booms and busts as various industries tried, with varying success, to find profitable uses for these scientists’ highly technical skills. Today, job prospects within computational biology -- also known as bioinformatics -- seem strong and appear to be growing, buoyed by pharmaceutical and biotech industries looking to take advantage of reams of genomics data and usher in a new era of drug discovery.