TriTrypDB

DeepChem — Python framework for deep learning in drug discovery, materials science, quantum chemistry, and biology. Provides molecular featurizers (ECFP, graph convolutions, Coulomb matrices), pre-bui

1 shared topic • 1 shared operation

geNomad — identify viruses and plasmids in metagenomic assemblies and isolate genomes using neural-network sequence embeddings and marker gene profiles. Classifies sequences as chromosome, plasmid, or

1 shared topic • 1 shared operation

KEGG Tools — Kyoto Encyclopedia of Genes and Genomes database access suite for pathway enrichment analysis, gene functional annotation via KEGG Orthology (KO), metabolic pathway reconstruction, and dr

1 shared topic • 1 shared operation

ProteinMPNN — deep learning-based protein sequence design from backbone structures. Uses message passing neural networks to predict amino acid sequences that fold into a given 3D backbone. Supports fi

1 shared topic • 1 shared operation

scArches (Single-cell Architecture Surgery) — Python toolkit for reference-based single-cell data integration via transfer learning. Maps query datasets into pre-trained reference atlases using archit

1 shared topic • 1 shared operation