Tangermeme gathers the after-training analyses of genomic deep learning models into one toolkit
Tangermeme's authors have built one toolkit for the work done with genomic deep learning models after training, such as scoring variants and finding motifs. They argue that this work is largely independent of a model's architecture, so one package can replace the bespoke code that labs ship with each model.
Reality
- Evidence50
- Adoption
- Not scored
- Hype gap+15
- Incentives45
- Confidence55
AlphaGenome Atlas answers every possible one-letter question in the human genome in advance, roughly a petabyte of predictions. Noncommercial access opened Tuesday, commercial use waits on Google Cloud, and the launch write-up carries no accuracy number.
Perspective Coverage
3 publishers
- Builder
- Builder 42%
- Operator
- Operator 33%
- Investor
- Investor 25%
Reality
- Evidence62
- Adoption15
- Hype gap+25
- Incentives55
- Confidence65
DeepMind precomputed all 9 billion single-letter genome changes into a free petabyte atlas
The AlphaGenome Atlas replaces a compute-heavy programming interface with a browser lookup for every possible single-base change in human DNA. The evidence that its impact score flags disease-linked mutations sits in two preprints.
Reality
- Evidence58
- Adoption28
- Hype gap+20
- Incentives65
- Confidence60
GPN-Star folds whole-genome alignments and a species tree into its architecture, which is how it trains in hours where Evo 2 needed 2,000 processors and months. The cost of building those alignments sits outside that comparison.
Reality
- Evidence60
- Adoption14
- Hype gap+28
- Incentives72
- Confidence58
Academics get all 9 billion single-base predictions through a browser at no cost, while commercial users wait on a Google Cloud licence whose terms DeepMind has not published, including for its own sister company.
Reality
- Evidence54
- Adoption30
- Hype gap+24
- Incentives78
- Confidence58
Google precomputes 9 billion variant predictions into a one-petabyte lookup
AlphaGenome Atlas turns per-variant inference into a table lookup and adds a ranking score, which changes what a genomics budget buys this quarter well before it changes what a clinic can act on.
Reality
- Evidence55
- Adoption28
- Hype gap+12
- Incentives68
- Confidence58
Fifty variant-effect predictors score rarity as harm across 13.5 million mutations
Almost every tool in a 50-program audit at Barcelona's CRG reads a quiet stretch of DNA as an important one, so its harm scores partly track how often a site mutates rather than what mutating it does.
Reality
- Evidence64
- Adoption34
- Hype gap−7
- Incentives58
- Confidence57