Ove Øyås 🇺🇦
@oveoyas.bsky.social
560 followers
1.4K following
62 posts
Computational systems biologist integrating data with mathematical models to explain biology. 🦠🍄🌱🐟🐮🧑 Researcher at Oslo Center for Biostatistics and Epidemiology (OCBE). Currently on paternity leave 🫐👶.
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Ove Øyås 🇺🇦
@oveoyas.bsky.social
· Nov 1
Reposted by Ove Øyås 🇺🇦
Reposted by Ove Øyås 🇺🇦
Reposted by Ove Øyås 🇺🇦
Nature
@nature.com
· 24d
Learning the natural history of human disease with generative transformers - Nature
Delphi-2M forecasts a person’s future health, covering more than 1,000 diseases, provides insights into co-morbidity dynamics and generates synthetic data for the training of AI models that have never seen actual data.
go.nature.com
Reposted by Ove Øyås 🇺🇦
Reposted by Ove Øyås 🇺🇦
Snorre Sulheim
@sulheim.bsky.social
· Aug 20
Microbes release lower-value metabolites at higher rates
Microbes release a wide range of metabolites into their environment, yet the reasons for this release and the factors that influence release rates are not well understood. Here, using a combination of...
www.biorxiv.org
Reposted by Ove Øyås 🇺🇦
Siri Leknes
@sirileknes.bsky.social
· Aug 27
Reposted by Ove Øyås 🇺🇦
Reposted by Ove Øyås 🇺🇦
Ove Øyås 🇺🇦
@oveoyas.bsky.social
· Aug 16
Quantifying large language model usage in scientific papers - Nature Human Behaviour
Liang et al. estimate the prevalence of text modified by large language models in recent scientific papers and preprints, finding widespread use (up to 17.5% of papers in computer science).
www.nature.com
Reposted by Ove Øyås 🇺🇦
Yo Akiyama
@yoakiyama.bsky.social
· Aug 5
Scaling down protein language modeling with MSA Pairformer
Recent efforts in protein language modeling have focused on scaling single-sequence models and their training data, requiring vast compute resources that limit accessibility. Although models that use ...
biorxiv.org
Reposted by Ove Øyås 🇺🇦
Reposted by Ove Øyås 🇺🇦
Sean Gibbons 🦠💩
@gibbological.bsky.social
· Jul 31
Metagenomic estimation of absolute bacterial biomass in the mammalian gut through host-derived read normalization | mSystems
In this study, we asked whether normalization by host reads alone was sufficient to
estimate absolute bacterial biomass directly from stool metagenomic data, without
the need for synthetic spike-ins, ...
journals.asm.org
Reposted by Ove Øyås 🇺🇦
Richard Sever
@richardsever.bsky.social
· Jul 31
Reposted by Ove Øyås 🇺🇦
Siri Birkeland
@siribirkeland.bsky.social
· Jul 30
Reposted by Ove Øyås 🇺🇦
Reposted by Ove Øyås 🇺🇦
Phil B. Pope
@microbesrule.bsky.social
· Jul 25
Protozoal populations drive system-wide variation in the rumen microbiome - Nature Communications
Here, the authors reveal that protozoal communities shape rumen microbiome structure, offering fresh insights into how these complex communities coordinate essential metabolic tasks across multiple mi...
www.nature.com
Ove Øyås 🇺🇦
@oveoyas.bsky.social
· Jul 16
Functional regimes define soil microbiome response to environmental change - Nature
Experimental perturbation of soil pH leads to a generalizable model of the soil microcosm comprising three functional regimes with distinct mechanisms linking environmental change to metabolite dynami...
www.nature.com
Ove Øyås 🇺🇦
@oveoyas.bsky.social
· Jul 9
The role of metabolism in shaping enzyme structures over 400 million years - Nature
By combining structural biology and evolutionary genomics analyses, the evolution of enzymes over 400 million years is shown to be governed by catalytic function, metabolic network architecture, cost ...
www.nature.com