In today’s rapidly evolving bioinformatics landscape, effective learning necessitates the ability to leverage the latest tools and techniques to drive innovation, make data-driven decisions, and advance scientific discovery.
CBIRT offers comprehensive programs designed to equip students, researchers, and professionals with the knowledge, tools, and strategies essential for excelling in the scientific world of bioinformatics.
Goal: To provide extensive training required to excel in the area of bioinformatics.
Eligibility: Students pursuing B.Sc., B.Tech., M.Sc., M.Tech., PhD in life sciences or computer science are encouraged to apply.
Tools and Techniques
in Bioinformatics for Beginners
Bioinformatics is transforming the landscape of biological research. Join this workshop to gain hands-on experience with the essential tools and techniques used in bioinformatics. This workshop is designed for newcomers and will cover fundamental concepts, data analysis methods, and practical applications, providing you with the skills needed to explore and analyze biological data effectively.
Next Generation Sequencing Data Analysis
NGS has revolutionized biological research. Join this workshop to learn cutting-edge techniques for analyzing NGS data. This hands-on session will cover key topics such as data preprocessing, alignment, variant calling, and interpretation. Designed for researchers and professionals, this workshop will equip you with the skills to handle and analyze NGS data, unlocking new insights in genomics.
Machine Learning in Bioinformatics for Beginners
Machine learning is becoming increasingly important in bioinformatics. Join this workshop to explore the integration of machine learning techniques in biological data analysis. This hands-on session will cover fundamental concepts, data preprocessing, model building, and evaluation. Designed for researchers and professionals, this workshop will equip you with the skills to apply machine learning algorithms to solve complex bioinformatics problems and derive meaningful insights from biological data.
