Sneha Geonka from Stanford University & Princeton presented on “Computational paradigm for scalable ultra-fast, & cost-efficient nanopore sequencing.” Goenka shared a graph showing the turnaround time for sequencing in the clinic. The world record is 7.3 hours at Stanford! To shorten the time to diagnosis, the pipeline included distributed computing and a lot of GPUs: […]
Since we have the GridION and want to learn more about how to use it, I watched the Knowledge Exchange session about the “GridION Mk1: delivering the ultimate flexibility in the lab.” Jon Pugh spoke emphasized that Nanopore sequencing has the benefits real-time, on demand, and bioinformatics rich data. Oxford Nanopore Technologies (ONT) has the […]
Miles Benton from the Institute of Environmental Science and Research in New Zealand spoke at the Nanopore Community Meeting 2021 about “Affordable GPU compute makes nanopore sequencing even more disruptive and empowering.”Benton is a senior scientist, bioinformatician, and an advocate of open, reproducible science. They share their materials on GitHub. Benton spoke about the birth […]
Mike Vella spoke at London Calling 2022 about “Dorado – a modern, C++, Torch-basecaller.” Vella is the Director of Machine Learning Operations with Oxford Nanopore. At the time of the recording, they had released a preview. Vella defined a basecaller as something that takes data from sensors and translates that into nucleotides… but Vella noted […]





