Arc Institute @arcinstitute
A new scientific institution for curiosity-driven biomedical science and technology. arcinstitute.org Palo Alto, CA Joined November 2021-
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Read our newest preprint to learn about orphan non-coding RNAs (oncRNAs) and how they form blood-readable digital molecular barcodes that capture the identity of cancer cells. A very long 🧵 biorxiv.org/content/10.110…
Excited to share the latest story from our group in @CellCellPress and so proud of the great science and incredible dedication of first authors @sculptorofdance and @CarolineScsGlia and all co authors (more details to follow) sciencedirect.com/science/articl…
Emerging technologies at the nexus of AI and health have the potential to augment our understanding of how to treat human diseases. We’re honored by the @BiswasFamilyFdn's gift, which will help support important computation-driven research. Thank you! bwnews.pr/49VImW8
More ML advances from @arcinstitute 🔥 @genophoria's lab reports in @CellGenomics a machine learning model that predicts RNA secretion. This will enable cool applications in noninvasive diagnostics and synthetic biology!
Excited to share our new preprint describing a highly scalable #CRISPR screening platform based on neuronal activity. biorxiv.org/content/10.110… Read more below from @scboggess04, who led this project:
Excited to share our new preprint describing a highly scalable #CRISPR screening platform based on neuronal activity. biorxiv.org/content/10.110… Read more below from @scboggess04, who led this project:
Check out our review on the regulatory pathways of translational control that are hijacked by cancer cells. The credit largely goes to @schen_sc and @a_navickas for putting this together over the holidays!
Check out our review on the regulatory pathways of translational control that are hijacked by cancer cells. The credit largely goes to @schen_sc and @a_navickas for putting this together over the holidays!
A new major collaborative project across the @BrianHie and Hsu labs, @arcinstitute and @StanfordEng - we’re excited for the future of foundation models in biology at Arc!
A new major collaborative project across the @BrianHie and Hsu labs, @arcinstitute and @StanfordEng - we’re excited for the future of foundation models in biology at Arc!
It was wonderful to work with Eric and the team on this project! It's incredible what an enthusiastic and diligent interdisciplinary team can accomplish together.
It was wonderful to work with Eric and the team on this project! It's incredible what an enthusiastic and diligent interdisciplinary team can accomplish together.
If you want to generate DNA in a browser, check out our @togethercompute playground/API: api.together.xyz/playground/gen… @huggingface checkpoints: huggingface.co/togethercomput… pip install: pypi.org/project/evo-mo… and more @arcinstitute tools at our Tools Hub: arcinstitute.org/tools
Is DNA all you need? Introducing Evo, a long context 7B foundation model for biology Evo has SOTA *zero-shot* prediction across DNA, RNA, and protein modalities Evo can generate DNA, RNA+proteins & make CRISPR-Cas systems for first time blog …n-model-tool-arc-institute.vercel.app/news/blog/evo
In some new work (the first from the new lab!), we lay out a vision for a biological foundation model that unites DNA, RNA, and protein modalities and operates at molecular, systems, and genome levels of scale. Blog: arcinstitute.org/news/blog/evo Preprint: arcinstitute.org/manuscripts/Evo
Is DNA all you need? In new work, we report Evo, a genomic foundation model that learns across the fundamental languages of biology: DNA, RNA, and proteins. Evo is capable of both prediction tasks and generative design, from molecular to whole genome scale.
.@sitaritapita and I are excited to share RESPLICE, a new RNA-programmable mode of editing that leverages RNA targeting CRISPR proteins and the endogenous spliceosomal machinery to enable versatile RNA edits in human cells! (1/12) biorxiv.org/content/10.110…
1 in 8 women in the US will receive a breast cancer diagnosis in their life. Arc Investigator @genophoria led a @TEDTalks session on applying advanced AI and novel RNA molecules to detect+track breast cancer – changing the future of how cancer is screened bit.ly/3HCZpzx
Just shared at @KeystoneSymp a new @arcinstitute discovery of the bridge RNA recombinase mechanism: a new class of natural RNA-guided systems that retains the key property of programmability from RNAi and CRISPR while enabling large-scale genome design beyond RNA and DNA cuts
☀️It’s a great week at Arc as we welcome our new Core Investigator @genophoria and his lab, and our first Science Fellow @zhou_jingtian! We’re proud to add these talented minds to our ranks, bringing with them a multidisciplinary approach to human disease research. Welcome, all!
RNAs have been historically very challenging to drug. @arcinstitute and @UCSF investigator Hani Goodarzi @genophoria reports an AI framework for targeting microRNAs with small molecules (with implications for breast cancer and RNA drivers of other diseases) Arc loves AI and RNA!
RNAs have been historically very challenging to drug. @arcinstitute and @UCSF investigator Hani Goodarzi @genophoria reports an AI framework for targeting microRNAs with small molecules (with implications for breast cancer and RNA drivers of other diseases) Arc loves AI and RNA! https://t.co/FOPjWlbpgu
Patrick Hsu @pdhsu
30K Followers 3K Following co-founder @ArcInstitute, @BerkeleyBioE professor | researcher & investor in genome editing, biotech, AI | 🇨🇦 @harvard @broadinstitute @editasmed, Fast GrantsArjun Raj @arjunrajlab
25K Followers 2K Following Just another LLM. Tweets do not necessarily reflect the views of people in my lab or even my own views last week. https://t.co/fZAnUCqd12Anshul Kundaje (anshu.. @anshulkundaje
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23K Followers 859 Following Writing and editing stories about scientific progress, especially in biology. Founding Editor @AsimovPress Head of Creative @AsimovBioFyodor Urnov @UrnovFyodor
15K Followers 532 Following Gene editor + Professor of Molecular Therapeutics @berkeleyMCB + Director of @igisci @danahercorp Beacon for CRISPR Cures.Jason Shepherd @JasonSynaptic
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17K Followers 9K Following Professor of Chemical Biology and Molecular Therapeutics at UC Berkeley; Departments of Chemistry and Molecular and Cell BiologyJames Olzmann @OlzmannLab
10K Followers 7K Following Associate Professor @UCBerkeley & Investigator @czbiohub. Lipid droplets, ferroptosis, ubiquitin, chembio, molecular therapeutics. Diversity, equity, inclusion.Sergiu P. Pasca @Sergiu_P_Pasca
11K Followers 2K Following Kenneth T. Norris Prof of Psychiatry @Stanford; Uytengsu Director of @BrOrganogenesis; Physician-Scientist; Seeking to understand human brain assembly & diseaseLukeGilbert @LukeGilbertSF
1K Followers 117 Following Core Investigator at Arc Institute and Associate Professor at UCSFMichelle Monje🎗️ @michelle_monje
18K Followers 1K Following Neuroscientist. Neuro-oncologist. Mom. @Stanford @HHMInews @CancerNeurosciHani Goodarzi @genophoria
4K Followers 1K Following Core Investigator @arcinstitute | Associate Professor @Ucsf_Biochem @UCSFurology @UCSFCancer | {Computational, Cancer, RNA} biologistMonther Abu-Remaileh @abu_remaileh
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60 Followers 333 FollowingPatrick Hsu @pdhsu
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1K Followers 117 Following Core Investigator at Arc Institute and Associate Professor at UCSFHani Goodarzi @genophoria
4K Followers 1K Following Core Investigator @arcinstitute | Associate Professor @Ucsf_Biochem @UCSFurology @UCSFCancer | {Computational, Cancer, RNA} biologistMarson Lab @MarsonLab
8K Followers 4K Following News from Dr. Alex Marson's lab @UCSF & @GladstoneInst, focusing on advances in immunology, CRISPR & genomics. Tweets represent personal views only.Martin Kampmann @MartinUCSF
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7K Followers 1K Following A research group in @StanfordAILab working on the foundations of machine learning & systems. https://t.co/JHK58TDorG Ostensibly supervised by Chris RéJingyi Wei @JingyiWei4
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1K Followers 548 FollowingBrian Hie @BrianHie
5K Followers 402 Following Assistant professor @StanfordEng ChemE and @StanfordData, Innovation Investigator @arcinstitute | Machine learning for biologyDr. April Pawluk @AprilPawluk
5K Followers 2K Following scientific publications @arcinstitute / scientific editing @LSE_editors. former Cell editor, Harvard microbiome center manager, & CRISPR scientist. she/her 🇨🇦Read our newest preprint to learn about orphan non-coding RNAs (oncRNAs) and how they form blood-readable digital molecular barcodes that capture the identity of cancer cells. A very long 🧵 biorxiv.org/content/10.110…
Excited to share the latest story from our group in @CellCellPress and so proud of the great science and incredible dedication of first authors @sculptorofdance and @CarolineScsGlia and all co authors (more details to follow) sciencedirect.com/science/articl…
More ML advances from @arcinstitute 🔥 @genophoria's lab reports in @CellGenomics a machine learning model that predicts RNA secretion. This will enable cool applications in noninvasive diagnostics and synthetic biology!
Excited to share our new preprint describing a highly scalable #CRISPR screening platform based on neuronal activity. biorxiv.org/content/10.110… Read more below from @scboggess04, who led this project:
Have you ever wanted to profile how a molecular pathway affects neuronal activity, but didn't know where to start? I'm excited to share "A Massively Parallel CRISPR-Based Screening Platform for Modifiers of Neuronal Activity" 1/ biorxiv.org/content/10.110…
Check out our review on the regulatory pathways of translational control that are hijacked by cancer cells. The credit largely goes to @schen_sc and @a_navickas for putting this together over the holidays!
Thrilled to share our latest review on translational adaptation in breast cancer metastasis and the promising therapeutic opportunities it unveils! Immense thanks to @genophoria and @a_navickas !
Happy to join with 90 other colleagues in the biomolecular design community to support the responsible advancement of AI x biology
AI for biology has the potential to help solve some of the most important problems facing our society. Scientific openness will be critical for our field to progress. As scientists engaged in this work, with more than 90 signatories across the world, we are advancing a framework…
Evo: a foundation model for genomics! Using a well suited architecture, Evo learns from billions of bp of genomic sequence and performs well on several zero-shot prediction tasks on RNA, DNA and protein. Beautiful paper from @BrianHie & @pdhsu at @arcinstitute
I'm especially grateful to @arcinstitute for having the vision to support this kind of research!
A new major collaborative project across the @BrianHie and Hsu labs, @arcinstitute and @StanfordEng - we’re excited for the future of foundation models in biology at Arc!
A new major collaborative project across the @BrianHie and Hsu labs, @arcinstitute and @StanfordEng - we’re excited for the future of foundation models in biology at Arc!
Is DNA all you need? In new work, we report Evo, a genomic foundation model that learns across the fundamental languages of biology: DNA, RNA, and proteins. Evo is capable of both prediction tasks and generative design, from molecular to whole genome scale.
It was wonderful to work with Eric and the team on this project! It's incredible what an enthusiastic and diligent interdisciplinary team can accomplish together.
Is DNA all you need? Introducing Evo, a long context 7B foundation model for biology Evo has SOTA *zero-shot* prediction across DNA, RNA, and protein modalities Evo can generate DNA, RNA+proteins & make CRISPR-Cas systems for first time blog …n-model-tool-arc-institute.vercel.app/news/blog/evo
New from @arcinstitute:
Is DNA all you need? In new work, we report Evo, a genomic foundation model that learns across the fundamental languages of biology: DNA, RNA, and proteins. Evo is capable of both prediction tasks and generative design, from molecular to whole genome scale.
If you want to generate DNA in a browser, check out our @togethercompute playground/API: api.together.xyz/playground/gen… @huggingface checkpoints: huggingface.co/togethercomput… pip install: pypi.org/project/evo-mo… and more @arcinstitute tools at our Tools Hub: arcinstitute.org/tools
Introducing Evo: a long-context biological model based on StripedHyena that generalizes across DNA, RNA, and proteins. It is capable of prediction tasks and generative design, from molecular to whole genome scale (over 650k tokens in length). together.ai/blog/evo
web UI api.together.xyz/playground/gen… HF huggingface.co/togethercomput… Pip install (pypi.org/project/evo-mo…
This work was made possible with the entire Evo team, the most incredible researchers across @HazyResearch @arcinstitute @StanfordAILab @StanfordHAI @MichaelPoli6 @mgdurrant @ai_with_brains @realbriankang @StefanoErmon @pdhsu @BrianHie
We’ve made it super easy to try Evo with a web UI hosted on Together AI, with chat-like interface for generating so you can tune generation. huggingface.co/togethercomput…
Evo uses StripedHyena, a recent deep signal processing model with hyena + attn layers - 131k context, single nucleotide, byte level tokens - generates DNA @ 650k tokens long, 2500x longer than before paper arcinstitute.org/manuscripts/Evo code github.com/evo-design/evo
Evo is trained on 2.7M whole prokaryotic genomes & plasmids - 300B tokens from raw, unannotated genomic seqs - using next nucleotide/token prediction - to accelerate science, we curated & open source OpenGenome, the largest DNA pretraining dataset (in coming days)
Is DNA all you need? Introducing Evo, a long context 7B foundation model for biology Evo has SOTA *zero-shot* prediction across DNA, RNA, and protein modalities Evo can generate DNA, RNA+proteins & make CRISPR-Cas systems for first time blog …n-model-tool-arc-institute.vercel.app/news/blog/evo
In some new work (the first from the new lab!), we lay out a vision for a biological foundation model that unites DNA, RNA, and protein modalities and operates at molecular, systems, and genome levels of scale. Blog: arcinstitute.org/news/blog/evo Preprint: arcinstitute.org/manuscripts/Evo