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Current genomics technologies produce vast raw data about living organisms and complex biochemical and regulatory processes. Big data analytics applications significantly impact clinical diagnostics to detect diseases earlier, generate new insights into disease mechanisms, monitor the quality of medical and healthcare institutions, and provide better treatment methods. Analyzing the large quantity of data generated from sequencing approaches is a challenge. A large quantity of data and sequence information is generated, requiring significant analysis. Challenges associated with the analysis of this data include changes in programs used to align and assemble sequence reads. Various sequencing technologies also have different error rates and generate various read lengths, which can pose challenges in comparing results from different sequencing platforms. Thus, training and familiarizing medical and allied professionals with these technologies is crucial. The Pediatric Allergy Immunology Unit, Advanced Pediatrics Centre, Post Graduate Institute of Medical Education and Research, Chandigarh, is India’s leading Pediatric Clinical Immunology and Rheumatology centre. We are the only centre worldwide accredited as a World Health Organization (WHO) Collaborating Centre for Education, Research and Training in Pediatric Immunology (2022-2026). Currently, we use targeted gene panels and whole-exome sequencing to diagnose inborn errors of immunity. The post- sequencing analysis is also carried out in-house, and variants are validated using Sanger sequencing, which is also performed in our laboratory. This course, “Bioinformatics Tools for Genomic Data Analysis”, will cover various bioinformatics tools needed to analyze and interpret genomic data. This course will comprehensively review the subject targeting medical graduates, fellows, researchers, faculty and practising health professionals. Prof Francesc Lopez-Giraldez Dr Lopez is an Associate Director of Bioinformatics at the Yale Center for Genome Analysis. He has over 18 years of bioinformatics experience on various large-scale biological sequence analyses and 14 years on NGS data analysis and pipeline development. Prof Amit Rawat is the Laboratory In-Charge, Pediatric Allergy Immunology Unit. He has 18 years of experience in diagnosing Inborn Errors of Immunity. His laboratory uses immunological assays and high-throughput sequencing for clinical diagnostics and research.