Hub of Bioinformatics (HOB) has a great expertise in Genomics, Proteomics, Systems and Synthetic Biology and we constantly endeavour to surpass the expectations of our customers. As a result, we always improvise to enrich their experience of owning a better bioinformatics services.
We have a well-coordinated manpower working closely with the group synergizing to strive to foster a team spirit amongst all business units to work as one cohesive umbrella unit. We focus on innovation in style of Bioinformatics and bringing novelty. All our projects till date have become client satisfactory.
HOB promises quality assurance, customer focused, reliability and trust from all its Bioinformatics Services.
We have been entertaining a floating population of trainees throughout the year. The facilities have been used for training High School, College-going students graduates, postgraduates, PhD Scholars, Post-Doc fellows and Faculties/Scientists. Future plans of public-awareness programs in the subject by developing the educational material, creation of linkages with national and international educational-research institutions and industries are in the process of planning and execution. Any support or collaboration in this direction is welcome by the HOB.
We believe that serious progress in converting genomic data into biological knowledge will require assembling a small group of scientists who combine a diversity of skills in the form of collaborating faculty and resource persons, with a commitment to work closely together. Genomics research opens up new intellectual opportunities. It’s felt that there is a need to strengthen the existing facilities of teaching and research in Bioinformatics, upgrade already existing skills and create linkages with existing and upcoming laboratories, centers, institutions and industries.
The HOB includes in its vision to enable cutting-edge research in a wide spectrum of Bioinformatics applications including Docking, Molecular Dynamic Simulations, Next Generation Sequencing (NGS), Drug Designing, Systems and Synthetic Biology analysis.