tangermeme, a genomic sequence-to-function modeling toolkit, published in Nature Methods
anshulkundaje · x · 2026-10-09
tangermeme, a toolkit implementing the primitives of genomic sequence-to-function modeling with efficient, tested, composable functions, has been published in Nature Methods. Fellow researchers, including changmyun, endorse it as a must-use toolkit covering in silico predictions, variant effects, ablation, and attribution analyses, closely integrated with the broader tangermeme ecosystem.
Related event: Genomic Deep Learning Toolkit tangermeme Published in Nature Methods(3 posts)→
More from Research
- Ex-self-driving ML engineer writes long-form on the practice of semi-supervision — Visual_Ability · 2026-10-09
- RLVR misses 'all minimal correct answers' problems; new credit assignment doubles finds — thoma_gu · 2026-10-09
- Debunked: AI did not solve the Millennium Prize Navier-Stokes problem — gerardsans · 2026-10-09
- New open-source 3JSBench evaluates LLMs on generating coherent Three.js 3D assets — ycombinator · 2026-10-09
- Moonworks' Lunara: Sub-10B Diffusion Mixture Transformer Tops Aesthetic and Human Blind Evaluations — paper-crow · 2026-10-09
- Study: Local domains take 41.4% of AI citations in Brazil, 38.3% in UK across ChatGPT and Gemini — gaganghotra_ · 2026-10-09