Leveraging base modification information with Modkit | LC26
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- Published on: May 19 2026
Abstract
Nanopore sequencing reads from native DNA and RNA are inherently multiomic. However, using this data with confidence can be daunting. I will show how improvements in machine learning models have made it easier than ever to acquire this data. Then we will touch on best practices for a variety of example use cases, including quality control and validation, exploratory data analysis, and biological interrogation.
Biography
Arthur (Art) Rand joined the research team at Oxford Nanopore Technologies (ONT) in 2022. His interests span developing basecalling and base modification detection models to secondary analysis software. Arthur is the lead developer of the Modkit software package from ONT. When not at work, he can probably be found on his bike in the mountains of the central coast of California.
