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About the Webinar

In recent years, Hi-C sequencing has surpassed traditional methods like RNA-seq and FISH to emerge as one of the most powerful tools for structural variant detection in cancer. In this bioinformatics webinar, explore the nuances of SV data analysis and interpretation. In addition, we will showcase a new bioinformatics product — the Arima Bioinformatics Platform — that makes SV data analysis accessible to wet lab researchers.

What You Will Learn

  1. Why is Hi-C technology good at detecting SVs? Learn about what makes Hi-C better than other technologies at detecting structural variants.
  2. How can you analyze SV data if you’re not a bioinformatician? Get introduced to the Arima Bioinformatics Platform: learn how to navigate, upload, and analyze SV data on the platform — no coding required.
  3. How do you interpret SV data? Understand how to make sense of SV data, including how to identify true and false positives.

Meet the Speakers

Sofia Nomikou, PhD

Computational Biologist, Arima Genomics

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.

Ibrahim Jivanjee, MBA

Director of Product Management and Marketing

Ibrahim is the Director of Product Management and Marketing at Arima, with over 15 years in the biotech industry specializing in genomics. At Arima, he spearheads new product development and the company's marketing initiatives.