Biomedical Big Data Analysis for Non-Bioinformaticians
Master essential techniques for processing and evaluating large-scale biomedical datasets through digital platforms and analytical resources and tools.
Master essential techniques for processing and evaluating large-scale biomedical datasets through digital platforms and analytical resources and tools.
Dive into the world of biomedical big data with this comprehensive course designed for students, scientists, researchers, clinicians, and librarians with limited bioinformatics experience. You'll learn to navigate and analyze massive biomedical datasets, gaining practical skills in genomic, transcriptomic, and proteomic data analysis. Through a series of lectures, hands-on training sessions, and demos, you'll explore various online resources and tools, demystifying the process of biomedical big data analysis. This course will empower you to leverage the power of big data in scientific discoveries and patient care, bridging the gap between bioinformatics and biomedical research.
Instructors:
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What you'll learn
Understand biomedical data generation and processing methods
Navigate and utilize major biomedical big data resources
Perform genomic, transcriptomic, and proteomic data analysis using online tools
Apply systems biology approaches to interpret big data
Appreciate the value of big data in biomedical research and clinical practice
Understand regulatory and ethical considerations in biomedical data use
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 8 modules in this course
This course offers a comprehensive introduction to biomedical big data analysis for non-bioinformaticians. The curriculum covers the entire spectrum of biomedical data, from generation to analysis and interpretation. Key areas include genomics, transcriptomics, proteomics, and systems biology. Students will learn to use various online resources and tools such as The Cancer Genome Atlas (TCGA), G-DOC, and UNIPROT. The course emphasizes practical skills through hands-on exercises and demos, allowing students to explore and analyze real biomedical datasets. Additionally, it covers important aspects such as data sharing, metadata, data formats, and ontologies. The course concludes with perspectives from experts in the field, providing insights into regulatory issues, public dataset sharing, and initiatives like the Cancer Moonshot.
Introduction and Overview of Bioinformatics Platforms and Resources
Module 1
Translational Research and Big Data
Module 2
DNA and Big Data
Module 3
RNA and Big Data
Module 4
Proteins and Big Data Part I
Module 5
Proteins and Big Data Part II
Module 6
Systems Biology and Big Data
Module 7
Perspectives from the Field and Course Conclusion
Module 8
Fee Structure
Instructors
Acclaimed Leader in Mechanical Engineering and Acoustics
Robert Clark earned his doctorate in mechanical engineering from Virginia Polytechnic Institute and State University and joined Duke University's Department of Mechanical Engineering and Materials Science in 1992. Over his 16 years at Duke, he significantly contributed to the institution's mission by founding the Center for Biologically Inspired Materials and Material Systems, which he developed into a multimillion-dollar program involving over two dozen faculty members. He also held the Thomas Lord Professorship of Engineering and served as Dean of the Pratt School of Engineering before moving to the University of Rochester. Currently in his fifth year as dean of the Hajim School of Engineering and Applied Sciences, Clark is an expert in acoustics, dynamic systems, applied control, and bio-nano-manufacturing. His extensive research has resulted in 140 journal publications and numerous accolades, including the Lindsey Award from the Acoustical Society of America, the National Science Foundation Career Program Award, the Presidential Early Career Award for Scientists and Engineers, and the NASA Group Achievement Award. Additionally, he is a fellow of the American Society of Mechanical Engineers, the Acoustical Society of America, and the American Association for the Advancement of Science.
Medical Genetics and Cancer Research Pioneer at Georgetown University
Bassem R. Haddad serves as Professor of Oncology and Obstetrics and Gynecology at Georgetown University Medical Center, where he directs molecular cytogenetics research and co-leads the Medical School Molecular and Human Genetics course. After completing his MD and residency at the American University of Beirut, followed by fellowship training in Molecular Cytogenetics at Boston University, Baylor College of Medicine, and the NIH, he established himself as a leader in cancer genetics research. His work focuses on understanding genetic aberrations and instability in diseases, particularly cancer, through his active molecular cytogenetics laboratory dedicated to translational research and biomarker discovery. His contributions to medical education include developing innovative teaching approaches and creating Georgetown's first MOOC, "Genomic Medicine Gets Personal." His expertise spans tissue culture studies, biorepository operations, and cancer genetics, while his role as inaugural GUMC Faculty Ombudsperson allows him to serve nearly 2,000 faculty members across various schools and programs at Georgetown University Medical Center
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