Gemini Enterprise Agent Platform update on November 4, 2026 https://docs.cloud.google.com/gemini-enterprise-agent-platform/release-notes#November_04_2026 #googlecloud AlphaGenome gRPC and unified HTTP serving support AlphaGenome ( alphagenome-004 ) now supports unified
November 5, 2026 at 12:20 AM
Gemini Enterprise Agent Platform update on November 4, 2026 https://docs.cloud.google.com/gemini-enterprise-agent-platform/release-notes#November_04_2026 #googlecloud AlphaGenome gRPC and unified HTTP serving support AlphaGenome ( alphagenome-004 ) now supports unified
Isn’t that the idea with AlphaGenome Atlas? A database you can point an LLM at and ask it questions about genes?
November 3, 2026 at 6:29 AM
Isn’t that the idea with AlphaGenome Atlas? A database you can point an LLM at and ask it questions about genes?
across both gRPC and HTTP clients through the unified alphagenome_cloud_sdk Python SDK. Retains alphagenome-003 in Model Garden for backward compatibility with existing legacy HTTP deployments. For more information, see the AlphaGenome documentation.
November 5, 2026 at 12:20 AM
across both gRPC and HTTP clients through the unified alphagenome_cloud_sdk Python SDK. Retains alphagenome-003 in Model Garden for backward compatibility with existing legacy HTTP deployments. For more information, see the AlphaGenome documentation.
Beyond a single threshold: calibration of CADD v1.7 and AlphaGenome for ACMG/AMP computational evidence across variant classes, model versions, and reference data https://www.biorxiv.org/content/10.64898/2026.10.31.763309v1
November 3, 2026 at 2:31 AM
Beyond a single threshold: calibration of CADD v1.7 and AlphaGenome for ACMG/AMP computational evidence across variant classes, model versions, and reference data https://www.biorxiv.org/content/10.64898/2026.10.31.763309v1
Beyond a single threshold: calibration of CADD v1.7 and AlphaGenome for ACMG/AMP computational evidence across variant classes, model versions, and reference data https://www.biorxiv.org/content/10.64898/2026.10.31.763309v1
November 3, 2026 at 2:31 AM
Beyond a single threshold: calibration of CADD v1.7 and AlphaGenome for ACMG/AMP computational evidence across variant classes, model versions, and reference data https://www.biorxiv.org/content/10.64898/2026.10.31.763309v1
Scooby-2: fine-tuning AlphaGenome for single-cell genomic track prediction https://www.biorxiv.org/content/10.64898/2026.10.28.762238v1
October 29, 2026 at 2:47 PM
Scooby-2: fine-tuning AlphaGenome for single-cell genomic track prediction https://www.biorxiv.org/content/10.64898/2026.10.28.762238v1
Scooby-2: fine-tuning AlphaGenome for single-cell genomic track prediction https://www.biorxiv.org/content/10.64898/2026.10.28.762238v1
October 29, 2026 at 2:47 PM
Scooby-2: fine-tuning AlphaGenome for single-cell genomic track prediction https://www.biorxiv.org/content/10.64898/2026.10.28.762238v1
Scooby-2: fine-tuning AlphaGenome for single-cell genomic track prediction #SingleCell 🧪🧬🖥️
https://www.biorxiv.org/content/10.64898/2026.10.28.762238v1
https://www.biorxiv.org/content/10.64898/2026.10.28.762238v1
October 29, 2026 at 5:00 PM
Scooby-2: fine-tuning AlphaGenome for single-cell genomic track prediction #SingleCell 🧪🧬🖥️
https://www.biorxiv.org/content/10.64898/2026.10.28.762238v1
https://www.biorxiv.org/content/10.64898/2026.10.28.762238v1
AlphaGenome? That seems underwhelming to me because the source data is incredibly noisy and everything has to be experimentally validated anyway, and we lack equipment with sufficient accuracy to validate anything other than broad findings.
October 28, 2026 at 10:51 AM
AlphaGenome? That seems underwhelming to me because the source data is incredibly noisy and everything has to be experimentally validated anyway, and we lack equipment with sufficient accuracy to validate anything other than broad findings.
This article my Imperial gives a broad view -
www.imperial.ac.uk/Stories/ai-h...
But the stuff in particular I’m impressed by is the Alphagenome project by google deepmind.
www.imperial.ac.uk/Stories/ai-h...
But the stuff in particular I’m impressed by is the Alphagenome project by google deepmind.
AI in healthcare
In the past five years, AI in healthcare has progressed rapidly from concept to deployment. It is now set to reshape almost every aspect of health and medicine, spanning fields such as drug discovery,...
www.imperial.ac.uk
October 28, 2026 at 10:34 AM
This article my Imperial gives a broad view -
www.imperial.ac.uk/Stories/ai-h...
But the stuff in particular I’m impressed by is the Alphagenome project by google deepmind.
www.imperial.ac.uk/Stories/ai-h...
But the stuff in particular I’m impressed by is the Alphagenome project by google deepmind.
AlphaGenome informed machine learning for pathogenicity prediction of germline mutations
https://www.biorxiv.org/content/10.64898/2026.10.20.760593v1
October 26, 2026 at 12:12 PM
AlphaGenome informed machine learning for pathogenicity prediction of germline mutations
https://www.biorxiv.org/content/10.64898/2026.10.20.760593v1
AlphaGenome informed machine learning for pathogenicity prediction of germline mutations https://www.biorxiv.org/content/10.64898/2026.10.20.760593v1
October 26, 2026 at 3:45 AM
AlphaGenome informed machine learning for pathogenicity prediction of germline mutations https://www.biorxiv.org/content/10.64898/2026.10.20.760593v1
AlphaGenome informed machine learning for pathogenicity prediction of germline mutations https://www.biorxiv.org/content/10.64898/2026.10.20.760593v1
October 26, 2026 at 3:45 AM
AlphaGenome informed machine learning for pathogenicity prediction of germline mutations https://www.biorxiv.org/content/10.64898/2026.10.20.760593v1
ヒトゲノムで起こり得る約90億通りの変異による影響を予測したデータベース「AlphaGenome Atlas」をGoogle DeepMindが発表 – GIGAZINE
https://www.yayafa.com/2919758/
Google DeepMindが、ヒ…
https://www.yayafa.com/2919758/
Google DeepMindが、ヒ…
ヒトゲノムで起こり得る約90億通りの変異による影響を予測したデータベース「AlphaGenome Atlas」をGoogle DeepMindが発表 - GIGAZINE - YAYAFA
www.yayafa.com
October 26, 2026 at 3:40 PM
ヒトゲノムで起こり得る約90億通りの変異による影響を予測したデータベース「AlphaGenome Atlas」をGoogle DeepMindが発表 – GIGAZINE
https://www.yayafa.com/2919758/
Google DeepMindが、ヒ…
https://www.yayafa.com/2919758/
Google DeepMindが、ヒ…
Half a century ago, King & Wilson proposed that humans differ from chimpanzees mainly through changes in gene regulation. In our new preprint, we used AlphaGenome to map such changes genome-wide, across tissues of the human body! www.biorxiv.org/content/10.6...
October 23, 2026 at 1:11 PM
Half a century ago, King & Wilson proposed that humans differ from chimpanzees mainly through changes in gene regulation. In our new preprint, we used AlphaGenome to map such changes genome-wide, across tissues of the human body! www.biorxiv.org/content/10.6...
Calibration of AlphaGenome Variant Impact and SpliceAI2 scores as PP3/BP4 evidence for missense, non-coding, and synonymous variants https://www.biorxiv.org/content/10.64898/2026.10.21.760715v1
October 24, 2026 at 1:31 PM
Calibration of AlphaGenome Variant Impact and SpliceAI2 scores as PP3/BP4 evidence for missense, non-coding, and synonymous variants https://www.biorxiv.org/content/10.64898/2026.10.21.760715v1
Calibration of AlphaGenome Variant Impact and SpliceAI2 scores as PP3/BP4 evidence for missense, non-coding, and synonymous variants https://www.biorxiv.org/content/10.64898/2026.10.21.760715v1
October 24, 2026 at 1:31 PM
Calibration of AlphaGenome Variant Impact and SpliceAI2 scores as PP3/BP4 evidence for missense, non-coding, and synonymous variants https://www.biorxiv.org/content/10.64898/2026.10.21.760715v1
Cross-species AlphaGenome use raises domain shift: predictions may inherit human-centered training biases. Testing ancestral and orthologous sequence swaps, then validating regulatory effects with perturbation data across tissues, would separate real divergence from model asymmetry.
October 24, 2026 at 11:57 PM
Cross-species AlphaGenome use raises domain shift: predictions may inherit human-centered training biases. Testing ancestral and orthologous sequence swaps, then validating regulatory effects with perturbation data across tissues, would separate real divergence from model asymmetry.
Google DeepMind + Google Cloud will give up to 200 European researchers AlphaFold 3, AlphaGenome, WeatherNext, AlphaEvolve and AlphaEarth, plus $3M in credits.
What each tool does, what Google hasn’t said, and how to try them free this week:
#AI #AIforScience #DeepMind #AlphaFold #OpenScience
What each tool does, what Google hasn’t said, and how to try them free this week:
#AI #AIforScience #DeepMind #AlphaFold #OpenScience
Google to Give up to 200 Top European Researchers Direct Access to their Frontier Models ($3 Million in Compute Credits)
Google DeepMind and Google Cloud are giving 200 European researchers AlphaFold 3, AlphaGenome, WeatherNext, AlphaEvolve and AlphaEarth, plus $3M in credits. What each does and how to try them.
justbeingresourceful.com
October 23, 2026 at 1:57 PM
Google DeepMind + Google Cloud will give up to 200 European researchers AlphaFold 3, AlphaGenome, WeatherNext, AlphaEvolve and AlphaEarth, plus $3M in credits.
What each tool does, what Google hasn’t said, and how to try them free this week:
#AI #AIforScience #DeepMind #AlphaFold #OpenScience
What each tool does, what Google hasn’t said, and how to try them free this week:
#AI #AIforScience #DeepMind #AlphaFold #OpenScience
We used the sequence-to-function model AlphaGenome (Avsec et al., 2026) to predict the extent to which each of the ~17 million substitutions that arose on the human lineage affects chromatin accessibility, a proxy for regulatory activity, in 305 tissues and cell types.
October 23, 2026 at 1:11 PM
We used the sequence-to-function model AlphaGenome (Avsec et al., 2026) to predict the extent to which each of the ~17 million substitutions that arose on the human lineage affects chromatin accessibility, a proxy for regulatory activity, in 305 tissues and cell types.
Does this work? We benchmarked the predictions against measured chromatin accessibility differences between humans and other great apes. AlphaGenome outperformed all other models tested and accurately recovered experimentally measured human-specific changes.
October 23, 2026 at 1:11 PM
Does this work? We benchmarked the predictions against measured chromatin accessibility differences between humans and other great apes. AlphaGenome outperformed all other models tested and accurately recovered experimentally measured human-specific changes.
AlphaGenome: el salto de Google DeepMind hacia la genómica global
Revista SEBBM nº230, por Emma Pérez García, María Sánchez Martín, Alberto Berral-González y Javier De Las Rivas
https://f.mtr.cool/jvbdp81s3l
#Genómica #SEBBM
Revista SEBBM nº230, por Emma Pérez García, María Sánchez Martín, Alberto Berral-González y Javier De Las Rivas
https://f.mtr.cool/jvbdp81s3l
#Genómica #SEBBM
October 22, 2026 at 11:37 AM
AlphaGenome: el salto de Google DeepMind hacia la genómica global
Revista SEBBM nº230, por Emma Pérez García, María Sánchez Martín, Alberto Berral-González y Javier De Las Rivas
https://f.mtr.cool/jvbdp81s3l
#Genómica #SEBBM
Revista SEBBM nº230, por Emma Pérez García, María Sánchez Martín, Alberto Berral-González y Javier De Las Rivas
https://f.mtr.cool/jvbdp81s3l
#Genómica #SEBBM
Billions of DNA variants. One ambitious search engine. DeepMind’s Atlas could spotlight risky mutations, if lab tests agree.
#DeepMind #Genetics #Science https://spaisee.com/article/deepmind-s-atlas-turns-genome-mutation-into-a-search-problem
#DeepMind #Genetics #Science https://spaisee.com/article/deepmind-s-atlas-turns-genome-mutation-into-a-search-problem
DeepMind’s Atlas Turns Genome Mutation Into a Search Problem
Google DeepMind’s AlphaGenome Atlas maps predicted effects for 9 billion DNA changes, helping researchers prioritize non-coding variants, understand molecular mechanisms and design experiments without treating AI scores as diagnoses.
spaisee.com
October 24, 2026 at 8:05 AM
Billions of DNA variants. One ambitious search engine. DeepMind’s Atlas could spotlight risky mutations, if lab tests agree.
#DeepMind #Genetics #Science https://spaisee.com/article/deepmind-s-atlas-turns-genome-mutation-into-a-search-problem
#DeepMind #Genetics #Science https://spaisee.com/article/deepmind-s-atlas-turns-genome-mutation-into-a-search-problem
Kyle Taylor from @deepmind.bsky.social is presenting AlphaGenome at #ASHG26! A great method for annotating variants with impressive performance across molecular readouts.
But the annotations are still far from complete: methylation, context-specific QTLs etc. still some way to go!🧬
But the annotations are still far from complete: methylation, context-specific QTLs etc. still some way to go!🧬
Advancing regulatory variant effect prediction with AlphaGenome - Nature
AlphaGenome, a deep learning model that inputs 1-Mb DNA sequence to predict functional genomic tracks at single-base resolution across diverse modalities, outperforms existing models in variant effect...
www.nature.com
October 21, 2026 at 3:35 PM
Kyle Taylor from @deepmind.bsky.social is presenting AlphaGenome at #ASHG26! A great method for annotating variants with impressive performance across molecular readouts.
But the annotations are still far from complete: methylation, context-specific QTLs etc. still some way to go!🧬
But the annotations are still far from complete: methylation, context-specific QTLs etc. still some way to go!🧬