Curvenote®

Curvenote®

@curvenote.com

Curvenote's mission is to free science from static PDF documents to enable researchers to continuously share more interactive, reproducible, and richly-linked #openscience content. Curvenote develops authoring and publishing tools for researchers.

1.3K followers5.3K following236 posts

medRxiv is now in Curvenote Reader 🚀 Hover over citations, zoom into clinical figures and tables, and stay in the flow of the paper. That makes all of openRxiv preprints readable this way. Try it: reader.openrxivlabs.org/medrxiv

reader.openrxivlabs.orgreader.openrxivlabs.org
openRxiv@openrxiv.bsky.social

👏 We’ve expanded our openRxiv Labs Curvenote Reader experiment to medRxiv Combined with bioRxiv, all 428,000+ preprints in the openRxiv Corpus are now available in the new interactive, networked experience. Check out the blog to learn more →https://openrxivlabs.org/articles/reader-on-medrxiv

Save the date! A new #openscience conference in Montreal coming in June! Excited to do our part to bring people together and converge some of the amazing efforts in the open science space! The conference is going to be fantastic.

Convergence Open Science Conference@convergenceconf.bsky.social

Join us for 𝗖𝗼𝗻𝘃𝗲𝗿𝗴𝗲𝗻𝗰𝗲, a multidisciplinary gathering designed for researchers, funders, technologists, and policymakers to meet, exchange ideas & make new connections. 📅 June 16–18, 2027 | Montreal 👉 𝗦𝗮𝘃𝗲 𝘆𝗼𝘂𝗿 𝘀𝗲𝗮𝘁 | 𝗣𝗮𝗿𝘁𝗻𝗲𝗿 𝘄𝗶𝘁𝗵 𝘂𝘀 www.convergescience.org #𝗖𝗼𝗻𝘃𝗲𝗿𝗴𝗲𝗻𝗰𝗲𝗖𝗼𝗻𝗳 #OpenScience #CallFor…

Institutions are sitting on years of valuable science - scattered, siloed, and hard to build on. The @curvenote.com SCMS is the connective layer that changes that. Every research output versioned, citable, and reusable. Credit built in. Reproducibility built in. curvenote.com/products/scms

curvenote.comCurvenote Scientific Content Management SystemA web-first experience that brings science and data to the surface. Enhance comprehension and maximize impact and reach of your research using rich metadata and interactive figures.

Our CEO @row1.ca joined the Data Engineering Podcast to talk about why science has outgrown the paper and what it will take to fix it. Data, code, narrative - brought together all the way through to publication. It's a hard problem and it's exactly what our team is solving. Worth a listen 👇

curvenote.comCurvenote on the Data Engineering PodcastRowan Cockett joined the Data Engineering Podcast to talk about reproducibility, open science, and the future of scientific communication.

🚀🚀 So excited for this to become more visible on bioRxiv. We are actively improving the Curvenote Reader, so feedback is really helpful!

openRxiv@openrxiv.bsky.social

The Curvenote Reader button is live on bioRxiv! 😎 Click it to explore papers in a new way—zoom figures, pull up references without leaving the page. Button appears 48 hours after papers drop. Feedback? DM us or hit the GitHub repo. openrxivlabs.org/articles/rea...

Most conference contributions disappear after the closing session. Curvenote powers @scipyconf.bsky.social proceedings, turning talks into citable, discoverable, web-native archives. Every presenter gets a DOI. Every idea stays in the conversation. Learn more 👉 curvenote.com/solutions/co...

curvenote.comPublish Conference Proceedings That Get Discovered | CurvenoteTurn conference outputs into citable, discoverable, interactive proceedings with streamlined workflows and DOIs. Book a demo

Stop scrolling to the reference list. Stop squinting at figures. Curvenote Reader puts citations in context as you read. Figures zoom independently. References live where you need them. The research doesn't change. The experience does. Tell us what you think 👉 reader.openrxivlabs.org

The PDF was never meant to be science's final form. It was a print format that survived the web. We think researchers deserve better. That's what we're building. Learn more 👉 curvenote.com

Curvenote® reposted

Reading a paper shouldn't feel like an obstacle course. Curvenote Reader turns existing articles into structured, dynamic reading experiences. Figures, references, and citations connected in the flow of reading. No workflow changes needed. See it in action👇

Check check check. All of the research. ✅ Better metadata. Better science! 🤖 🚀

It is always really exciting to see people just fixing and improving their manuscripts based on automated metadata feedback that @curvenote.com provides. @scipyconf.bsky.social is submitting their annual proceedings and it is always awesome to see them roll in..!!

Curvenote® reposted

openRxiv Labs 🧪 has launched! and @curvenote.com is the first experiment -- bringing our interactive reading experience to bioRxiv and medRxiv preprints -- we've been busy! more coming soon...

openRxiv@openrxiv.bsky.social

Our first experiment, a new interactive preprint reading experience with @curvenote.com launches very soon! openrxivlabs.org/experiments

Curvenote® reposted

Let's go!! 🌉

So so excited about this and some of the opportunities to connect this into the #ATScience ecosystem. Shipped some small hints of that last week with @ronentk.me for (lite, v1) @semble.so integration.

🚀 Today we’re launching Curvenote Reader Curvenote Reader transforms existing research into connected, web-native reading experiences layered onto the systems repositories and publishers already use. No rebuilds. No workflow disruption. → curvenote.com/products/rea...

Curvenote® reposted

From post-publication review to post-publication enrichment 🔥🚀 #ATScience #Metascience

Ronen Tamari@ronentk.me

"The properties that make AT Protocol compelling for social networking are the same properties the research community has been asking for" Exciting vision for the future of science publishing on ATProto @row1.ca @opensci.dev @nokome.bsky.social #ATScience

Curvenote® reposted

Replying to @jshendure.bsky.social

In addition to the bioRxiv this is also pilot for a new interactive preprint developed by @curvenote.com w/ support from @hhmi-science.bsky.social including directly embedded Jupyter notebooks for fig reproduction, data, models, prediction tracks, code, etc shendure.curve.space/articles/evo...

shendure.curve.spaceEvolutionary transfer learning enables organism-wide inference of mammalian enhancer landscapesUnderstanding and modeling how the human genome encodes gene regulatory programs for thousands of cell types remains a central challenge in genomics and machine learning. However, most human cell types emerge during embryonic, fetal, and pediatric development which are inaccessible to comprehensive molecular profiling. To overcome this, we hypothesized that the mismatch in evolutionary rates between cis-acting enhancers (fast) and the trans-acting regulatory programs that interpret them (slow) creates an opportunity for ‘evolutionary transfer learning’. Specifically, models trained to predict cell type-specific enhancers in one species should generalize to the orthologous cell types and enhancers of related species. To test this, we generated a single-cell atlas of chromatin accessibility spanning mouse embryonic day 10 (E10) to birth (P0). Using combinatorial indexing1, we profiled 3.9 million nuclei from 36 staged embryos, resolving genome-wide accessibility in 36 cell classes and 140 cell types. With the goal of identifying distal enhancers for all cell classes, we trained a series of multi-output deep learning models (CREsted2), each addressing limitations of the preceding approach. An ‘evolution-naive’ model achieves strong performance on heldout peaks, but exhibited two failure modes during genome-wide inference: overprediction at tandem repeats and conflation of promoter and distal enhancer grammars. An ‘evolution-aware’ model resolves these by regrouping accessible regions based on functional coherence across syntenic orthologs, but fails to generalize across species — suggesting insufficient sequence diversity during training. Finally, STEAM (Synteny-aware Transfer learning for Enhancer Activity Modeling), our ‘evolution-augmented’ model, expands the training corpus to include enhancer orthologs from up to 241 mammalian genomes (Zoonomia3) in a synteny-supervised manner. This increases the effective data scale by up to 195-fold, markedly improving generalization across mammals despite greater label noise. We apply STEAM predict enhancers for all major developmental lineages throughout the human, mouse (HumMus) and 239 additional mammalian genomes3 (BabaGanoush), i.e. 32 × 241 = 7,712 genome-wide enhancer tracks. Together, our results unify advances in single-cell profiling, deep learning, and comparative genomics into a framework for the evolutionary transfer learning of noncoding regulatory grammars. More broadly, our work supports the view that model organisms and evolutionarily diverse genomes are indispensable resources for accelerating the AI-enabled exploration of human biology.

Curvenote® reposted

Excited to talk about modular science, Open Exchange Architecture, @curvenote.com and @continuous.foundation tomorrow. Will be a fun day learning all that is going on in this space. 🚀🚀

ATProto Science@atproto.science

We're very honored to have @row1.ca & @matsulab.com as keynote speakers at #ATScience! Rowan & Matt will share their vision "Towards Modular Open Science" on moving beyond isolated papers toward a world of modular & interoperable research objects, leveraging #atproto as a decentralized backbone 🧪✨

Curvenote® reposted

Very excited to be working with @prereview.bsky.social on Modular Peer Review in 2026! 🚀 Sign up to be part of the working group: continuousfoundation.org/peer-form

Continuous Science Foundation@continuous.foundation

The Modular Peer Review Working Group with our partners @prereview.bsky.social kicks off in January. Join the cohort shaping how we review modular research outputs like data, code, methods and visuals. continuousfoundation.org/peer-form

Curvenote® reposted

We've just moved our `any-widget` based directives and renders for @mystmd.org into a public repo on @curvenote.com . After quite a while tinkering these are nicely supporting interactive visualizations - more work to fully implement the full `any-widget` interface coming github.com/curvenote/cu...

github.comcurvenote/packages/any-widget at main · curvenote/curvenoteCreate, edit, share, and publish scientific and technical documents. - curvenote/curvenote

When the Microscopy Society of America set out to launch Elemental Microscopy, we partnered with them to make it happen fast - an interactive, open-access journal where readers can explore data and code while MSA maintains full control of the publishing process. Read the full story → bit.ly/3LxMAff

bit.lyMSA | CurvenoteA web-first experience that brings science and data to the surface. Enhance comprehension and maximize impact and reach of your research using rich metadata and interactive figures.

Curvenote® reposted

Last week was full of great conversations at the CZI Open Science Meeting in sunny San Diego ☀️ - including on the first meeting of the new OpenRxiv organization - an exciting start to the next chapter for preprints. Read more in the post 👇

Curvenote®@curvenote.com

The @openrxiv.bsky.social community is charting the future of preprints — not just as papers, but as connected nodes in the open research web. Our reflections + @row1.ca's lightning talk on building continuous, connected publishing. curvenote.com/blog/czi-ope...

Imagine re-using every figure, method, or analysis without digging for it. That’s the idea behind a Scientific Content Management System—an SCMS. It connects the notebooks and venues where research is created, stored, and published. Explore more → bit.ly/3KSWh7t

bit.lySCMS: An introductionLearn what a Scientific Content Management System (SCMS) is and how it works. This primer explains how SCMS connects research components across tools, making scientific content searchable, reusable, a...

Curvenote® reposted

When I worked at Morressier, we always kept one eye on @curvenote.com So great to see them continue to go from strength to strength, deliver incredible features, and succeed in their mission where we did not. Amazing things can be done even with a tiny team and great focus. 🎉🥳🙌🎊

Curvenote®@curvenote.com

We’ve been on a journey to close the gap of fragmented workflows, lost credit, and disconnected tools. Our new platform turns scattered outputs into dynamic, connected and reusable research components. Learn more about why science needs an SCMS → curvenote.com/blog/why-sci...

We’ve been on a journey to close the gap of fragmented workflows, lost credit, and disconnected tools. Our new platform turns scattered outputs into dynamic, connected and reusable research components. Learn more about why science needs an SCMS → curvenote.com/blog/why-sci...

curvenote.comcurvenote.comHere at Curvenote, we’ve been on a journey to create systems and workflows that reimagine scientific communication and collaboration. Over the last five years, we’ve been focused on a universal problem: science is advancing faster than the systems we use to organize and share it.

Curvenote® reposted

Thrilled to be on this amazing team and be part of the mission to help science move beyond the PDF! 🚀

Curvenote®@curvenote.com

Announcing a key addition to our team: @buildwithjill.bsky.social, our Product Lead. With Jillian’s leadership, we’re evolving Curvenote into a platform where scientific work—figures, code, data, text—can be easily created, connected, reused, and shared. Read more: curvenote.com/blog/jillian...

Announcing a key addition to our team: @buildwithjill.bsky.social, our Product Lead. With Jillian’s leadership, we’re evolving Curvenote into a platform where scientific work—figures, code, data, text—can be easily created, connected, reused, and shared. Read more: curvenote.com/blog/jillian...

curvenote.comFrom PDFs to Possibilities - Curvenote BlogWelcoming product visionary Jillian Hale as we build a modular, dynamic future for research. Jillian’s background spans product strategy, communication, and platform design. She brings a unique blend ...