Centre of Excellence in Bioinformatics
The Centre of Excellence (CoE) in Bioinformatics, functioning through the Bioinfotech Club, was established in 2017 with the objective of promoting interdisciplinary education, advanced research, and skill development by integrating biological sciences with computational and data-driven approaches. The centre serves as a dynamic platform to enhance academic excellence, innovation, and research culture in the life sciences.
The CoE provides hands-on training and academic support in bioinformatics databases, tools, and open-source software related to genomics, proteomics, transcriptomics, molecular modeling, and systems biology. Through regular activities such as workshops, seminars, webinars, activity based learning sessions, and student-led projects, the centre strengthens computational thinking and practical expertise among undergraduate, postgraduate students, research scholars, and faculty members.
The Bioinfotech Club plays a key role in encouraging active student participation through mini-projects, research presentations, online certification courses, national-level competitions, and collaborative learning activities. Faculty-guided research initiatives supported by the centre contribute to data analysis for experimental studies, publications, and interdisciplinary collaborations.
In response to recent technological advancements, the Centre of Excellence has incorporated Artificial Intelligence (AI) in Biotechnology to further strengthen research and innovation. This initiative was formally launched through a One Week Faculty Development Program (Online Mode) titled “Next-Generation Artificial Intelligence for Biotechnological Research and Innovation.” The FDP introduced participants to AI-driven tools such as machine learning, deep learning, predictive modeling, and their applications in omics data analysis, drug discovery, and precision biotechnology.
Since its inception in 2017, the Centre of Excellence in Bioinformatics has significantly contributed to capacity building, employability enhancement, research output, and technology-enabled learning. By continuously adapting to emerging trends such as AI-enabled biotechnology, the centre remains committed to nurturing skilled human resources and advancing innovation, academic excellence, and societal relevance.