Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–3 of 3 filtered models
Google DeepMind
Google DeepMind model that predicts thousands of functional genomic tracks at single base-pair resolution from megabase-scale DNA sequences.
Calico Life Sciences
Deep learning model predicting cell-type-specific RNA-seq coverage at 32 bp resolution from 524 kb of DNA sequence, jointly modeling transcription, splicing, and polyadenylation.
Biomed AI
A BERT-based RNA language model pre-trained on 2M+ pre-mRNA sequences from 72 vertebrate species for splicing prediction and variant effect analysis.