Certificate Course in Silico ForensicIn Science

This course provides a comprehensive introduction to computational approaches used in forensic biology and digital forensics, integrating bioinformatics techniques with modern forensic investigations. It is designed to equip learners with the knowledge and practical skills required to analyze biological and digital evidence using advanced computational tools and data analysis methods. Participants will explore the principles of forensic genetics, DNA profiling, sequence analysis, and population genetics, along with the application of bioinformatics in criminal investigations, human identification, kinship analysis, and disaster victim identification. The course also covers forensic databases, genomic data interpretation, phylogenetic analysis, and statistical methods commonly used in forensic casework. Through hands-on training, learners will gain experience using bioinformatics software, sequence alignment tools, DNA marker analysis, and forensic data management systems. Practical sessions will include the analysis of DNA sequence data, STR and SNP marker evaluation, forensic database searches, contamination detection, quality assessment, and computational workflows for evidence interpretation. Case study–based exercises will demonstrate how bioinformatics supports forensic investigations by enabling accurate identification, relationship analysis, and evidence validation. By the end of the course, participants will be able to apply computational methods to forensic biological data, interpret genomic evidence, utilize forensic bioinformatics tools effectively, and perform data-driven analyses that support modern forensic science, legal investigations, and research applications.