Computational Biology is one of the most promising and emerging fields in the field of science. It is an interdisciplinary field that generates techniques and programming tools for investigation, understanding and analyzing biological information, specifically when the informational collections are enormous and complex. As an intrigue field of science, computational biology is a mutual combination of biology, computational knowledge, data building, mathematics, algorithms and statistics to analyze and decipher the biological information. The foremost critical assignment that computational biologists conduct is to outline biomedical problems as computational problems. This frequently implies looking at a natural framework in another way, challenging current suspicions or speculations around the relationships between parts of the framework, or joining distinctive sources of data to create a more comprehensive demonstration than had been endeavored recently. Though the field is emerging it has set its roots in different branches of biology and life science analyzing big data, utilizing biological information to generate algorithms or models, extracting information from biological sequences to unleash the hidden information and understand the system in broader perspective. Besides, it plays a vital role in the development of various fields related to human health (human genome project, drug design and development, vaccine designing), plant biotechnology (plant genome project, protein modeling) and much more. Besides, computational biology also plays a keen role in 3D-protein modeling, metabolic pathway analysis for identification of diseases and disorders related to the pathways. Computational biology extends its structure built on the subfields that includes computational anatomy, computational biomodeling, computational genomics, computational neuroscience, computational pharmacology, cancer computational biology, computational evolutionary study and many more. In these age of data revolution computational biology will surely create opportunity to seek the hidden mystery in biological system and develop the potential to reveal the mystery of nature to maximize its full potential and open the opportunities in the treatment of diseases and disorder.
Reverse Vaccinology Research Division
Computational Biology is one of the most promising and emerging fields in the field of science. It is an interdisciplinary field that generates techniques and programming tools for investigation, understanding and analyzing biological information, specifically when the informational collections are enormous and complex. As an intrigue field of science, computational biology is a mutual combination of biology, computational knowledge, data building, mathematics, algorithms and statistics to analyze and decipher the biological information. The foremost critical assignment that computational biologists conduct is to outline biomedical problems as computational problems. This frequently implies looking at a natural framework in another way, challenging current suspicions or speculations around the relationships between parts of the framework, or joining distinctive sources of data to create a more comprehensive demonstration than had been endeavored recently. Though the field is emerging it has set its roots in different branches of biology and life science analyzing big data, utilizing biological information to generate algorithms or models, extracting information from biological sequences to unleash the hidden information and understand the system in broader perspective. Besides, it plays a vital role in the development of various fields related to human health (human genome project, drug design and development, vaccine designing), plant biotechnology (plant genome project, protein modeling) and much more. Besides, computational biology also plays a keen role in 3D-protein modeling, metabolic pathway analysis for identification of diseases and disorders related to the pathways. Computational biology extends its structure built on the subfields that includes computational anatomy, computational biomodeling, computational genomics, computational neuroscience, computational pharmacology, cancer computational biology, computational evolutionary study and many more. In these age of data revolution computational biology will surely create opportunity to seek the hidden mystery in biological system and develop the potential to reveal the mystery of nature to maximize its full potential and open the opportunities in the treatment of diseases and disorder.