Bioinformatics with Biopython Training Course

This practical workshop introduces the fundamentals of bioinformatics, tailored for individuals with a foundational background in biology and molecular biology who are interested in learning how to process and analyze biological data using computational methods. It has been specifically designed for: - Researchers working in experimental laboratories focused on biological macromolecules such as proteins, RNA, and DNA. - Scientists whose primary expertise lies outside of biology but who need to handle biological data. - Managers developing new products (e.g., drugs) who wish to expand their knowledge of current bioinformatics practices. - Computer programmers tasked with writing software for handling biological molecules. The course is structured into two main components: theoretical and practical. The lectures are interspersed with hands-on exercises, quizzes, and tests to ensure that participants grasp the key concepts. Throughout the training, attendees will embark on a guided tour covering all essential aspects of biological data analysis. This workshop provides an excellent opportunity to become acquainted with bioinformatics and its diverse applications. By the end of the course, participants should be capable of addressing any basic bioinformatics challenge. They will learn where to source necessary data, how to extract relevant information, and how fundamental software and algorithms function. Our goal is to enhance your understanding of biological data for government and beyond. By the conclusion of the course, you will have the skills to effectively work with biological data using bioinformatics tools.

This instructor-led, live training (conducted online or onsite) is designed for advanced-level forensic scientists, geneticists, and anthropologists who aim to apply Next-Generation Sequencing (NGS) techniques in forensic investigations for government. By the end of this training, participants will be able to: - Understand the principles of NGS and its applications in forensic science. - Analyze forensic DNA samples using NGS methodologies. - Interpret NGS data for human identification and ancestry determination. - Utilize NGS in the analysis of degraded and complex DNA samples. - Apply bioinformatics tools for forensic genomic analysis. - Comprehend legal and ethical considerations in forensic genomics.