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Synthetic genomes for genomic AI!
Design precise donor-derived datasets with known mutations and full ground truth.
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A pair of studies analysing more than 4,700 ancient human genomes has identified the possible origins of Celtic and Germanic languages
Nature research paper: Insights into longevity and virus-driven adaptation from Myotis bat genomes
National Geographic 33 changemaker and National Geographic Explorer @drsammytweets is sequencing the genomes of every honeybee species to combat parasitic mites that threaten global food production. Read more about Ramsey’s global search: #NatGeo33#
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A new computational approach that can detect ancient hominin ancestry in modern humans without requiring archaic reference genomes reveals a more complex picture of human evolution than previously imagined.
Leveraging this approach, researchers report in Science that an unidentified "ghost" population contributed DNA to the ancestors of all modern humans before they dispersed out of Africa.
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Dogs are humanity's best friend—but how long has it been that way? 🐕
A 2020 Science study investigated ancient dog genomes, revealing a complicated genetic legacy that reflects a long, shared history with humans.
Learn more on #InternationalDogDay#:
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AI JUST LEARNED TO WRITE LIFE
Scientists used AI to create genetic code that never existed before.
The same technology that writes code and creates images is now learning the language of life.
- Evo 2 was trained on the genomes of millions of living organisms
- AI can generate new DNA sequences that never existed in nature
- Researchers created AI-designed viruses that successfully attacked bacteria
- The breakthrough could help discover new medicines faster
AI is no longer just predicting the future. It is starting to build it.
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"In a short period of time, our team has built the largest fully open language model ever trained, the first AI-generated genomic database, and the first AI-generated viable genomes." Stanford HAI Faculty Affiliate @BrianHie on Evo 2, developed with support from a Stanford HAI Hoffman-Yee Research Grant:
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This Thursday on Novelty Search :: SN107 Minos
@theminos_ai shows how #SN107# turns genomic variant calling into a Bittensor competition, generating fresh challenge genomes every 72 minutes with hidden synthetic mutations, rewarding miners for optimizing state-of-the-art mutation detection tools.
Join live via Bittensor Discord.
>> Hosted by @const_reborn
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