• Basics in bioinformatics
• Drug discovery,
• Microarray data analysis,
• Protein structure prediction validation
• Protein characterization using in-silico methods
• Linux for biologist
• Protein visualization software
• Protein-protein interaction

The participant of the training will be able to:

• Understanding Immunological Concepts: Gain a comprehensive understanding of key immunological concepts, including antigen-antibody interactions, immune response pathways, and the role of different immune cells in the context of infectious diseases.
• Proficiency in vaccine designing Tools: Acquire hands-on experience with immunoinformatics tools and software, enabling participants to analyze immunological data, predict epitopes, and perform other computational tasks essential for vaccine design and immunotherapy.
• Application of Bioinformatics in Vaccine Development: Develop the ability to apply bioinformatics approaches to vaccine development, including the identification of potential antigens, prediction of T-cell and B-cell epitopes, and analysis of immune response data.
• Data Interpretation Skills: Enhance skills in interpreting and analyzing immunological data generated through various bioinformatics tools, contributing to a deeper understanding of the immune system's response to pathogens and the design of effective interventions.
• Integration of Computational and Experimental Approaches: Learn how to integrate computational approaches with experimental methods in immunology, fostering a holistic understanding of the synergy between laboratory experiments and computational predictions in the field of immunoinformatics.
• Problem-Solving in Immunoinformatics Challenges: Develop problem-solving skills in addressing challenges specific to immunoinformatics, such as handling large-scale datasets, addressing variability in immune responses, and optimizing predictions for real-world applications.

• Students, working professional, Experienced Scientists /Research fellows (Universities & other R&D institutions) with specialization in Biotechnology, Botany, Zoology, Biochemistry, Microbiology, Genetics, Bioinformatics, Biomedical sciences, Chemistry, Pharmaceutical Sciences, Computational biology, computational chemistry, Molecular Biology, Cell Biology, and other life science areas are suitable for this training.