GDM Science Skills to speed up agentic scientific workflows with better grounding and higher token efficiency. Integrate insights from AlphaGenome, AFDB, UniProt and 30+ other databases and tools.

NEAT (NExt-generation Analysis Toolkit) simulates next-gen sequencing reads and can learn simulation parameters from real data.

Simulating paired-end short sequencing reads from circular and linear genomes

ML approach to discerning "best" Open Reading Frames (ORFs) from "noisy" transcriptomic data. Intended for identification of lineage-specific genes and decontamination from scRNA-seq assemblies.

Protein function prediction through latent tensor reconstruction

Scripts and files supplamntry metrial for Beyond Diffusion: Bayesian Learning Strategies in Single-Cell Life