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David Eccles 🌻🇵🇸7x🩹🛡️ @gringene.org · 22/05/2025

At London Calling, Rosemary Sinclair Dokos and Lakmal Jayasinghe shared how we’re doubling down on what matters: delivering a future-ready platform with proven performance across DNA, RNA, and now proteins. Click here to discover what’s new – and why it matters: nanoporetech.com/news/london-...

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#NanoporeConf Lakmal Jayasinghe ONT is the *only* sequencing technology that detects RNA modifications directly. They're now up to 8 modifications that can be detected simultaneously. [This is something I think ONT should be shouting from the rooftops every day] RNA barcoding is in beta testing.

image showing RNA modification landscape of human ribosomal RNAs for 18S and 28S rRNA; patterns of different modifications are shown throughout the entirety of the sequence. A validation of synthetic constructs demonstrates RNA modification detection accuracies of 95-99%.

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New HAC models are 1.4Q more accurate - a 25% error reduction

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Big improvements in modification calling accuracy - 6mA increases from Q16 to Q24

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Dorado v1.0.0 introduces dramatic improvement to modified base calling speed

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Base calling obeys scaling laws in deep learning - a Q28 base caller using standard chemistry is now available on demand.

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Oxford Nanopore sequencing will be ubiquitous for multiomics….and the next step is proteomics. First panel-based proteomics assays, before driving towards full protein sensing in the future. #nanoporeconf

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More details on new RNA modified bases detectable with @nanoporetech.com sequencing. #NanoporeConf

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Dorado 1.0 🚀release with new RNA modified base models for 2’Ome as well as improvement of all DNA and RNA modified base models including massive improvement in 6mA for open chromatin prediction! Also a lot more non-mods related features😆! #NanoporeConf github.com/nanoporetech...

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Chris Seymour @iiseymour.bsky.social · 21/05/2025

With significant ML advances, Dorado & MinKNOW now power built-in accurate variant calling, default methylation detection & short fragment mode. Adaptive sampling & T2T assemblies are production-ready — enabling faster, richer, more meaningful insights.

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Dorado is 1.0! 🎉 LC25 release adds v5.2 DNA/RNA models with a new suite of mod models that are higher accuracy, lower FP rates, and significantly faster. - Introducing dorado variant 👀 - HAC error rate is down over 25%. - New 2’Ome mod models - Hopper & Blackwell SUP speed ups #Nanoporeconf

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Matt Loose @minomatt.bsky.social · 21/05/2025

Your speakers for London Calling 2025! #NanoporeConf

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Really pleased that this paper is out - academic.oup.com/neuro-oncolo... thanks to all our collaborators far and wide who have helped and of course @nanoporetech.com

academic.oup.com

ROBIN: A unified nanopore-based assay integrating intraoperative methylome classification and next-day comprehensive profiling for ultra-rapid tumor diagnosis

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Excited for another London Calling! Incredible updates coming over the next two days! #NanoporeConf @nanoporetech.com

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I expect Rosemary and Lakmal (the new R&D team leads) will reveal more than just all this - I am looking forward to the reports on Wednesday and looking forward to catching up with everyone nanopore on Friday!

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Nanopore now can call 4 RNA modifications - m6A (I love how DNA and RNA have different writing conventions - molecular biologists, just don't go changing!) - m5C, pseudourodine, and inosine. This is all new stuff, and there quite a bit on truth sets, sensitivity/specificity to play out

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The final, most exotic stuff is RNA - so called "direct RNA" where modifications of the RNA is the really exciting stuff (the sequence itself, including intron/exon structure is probably still done best via cDNA, "old school").

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Basically molecular biologists can either use incorporation (eg, BrdU) or modification (eg, bacterial enzymes tethered to antibodies) or chemical modification (eg, radicals etc) and then the read out is the DNA (or RNA, see below).

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Nanopore can read other mods as well - hydroxymethylation, the oxidation product of methylation which is only really present in neuronal tissue in vertebrates (watch this space for insights on this - we will be preprinting soon!) and bacterial DNA methylation, like 6mA.

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This week is the gathering of the tribes around @nanoporetech.com, for their annual meeting, London Calling. It is a blend of tech announcements, product updates + scientific conference (posters and breakout talks). I am only there for the informatics day at the end sadly, but here are some thoughts

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