Who Is This Course For?
This beginner course is perfect for researchers who are familiar with the Hi-C data type but want to gain a deeper understanding of Hi-C bioinformatics. It answers the broader question: What are the steps involved in Hi-C data analysis?While the course discusses popular bioinformatics tools, please note it will not include how to run these tools from the command line.
What You Will Learn
- Hi-C method: A quick introduction to the Hi-C method and how it is used in human disease research.
- Pipeline overview: An overview of a typical bioinformatics pipeline for genome-wide Hi-C data.
- Alignment, filtering, binning, normalization — we’ll talk through what happens at each step and what you should pay attention to.
- Data visualization and interpretation: Interpreting the Hi-C contact matrix and heatmap, as well as identifying compartments, TADs, and loops.
- Tool selection: There are so many tools out there. Which do you choose? We will round out the webinar with an overview of popular Hi-C tools and pipelines.
About the Instructor
Sofia Nomikou, PhD, is a computational biologist in the Workflow Development team at Arima Genomics. She is involved in data processing and algorithm development for Arima products. Sofia received her PhD from the New York University School of Medicine, New York, where she worked on developing computational approaches to uncover mechanisms of chromatin regulation and alterations in cancer.
