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MuData — Python multimodal data container for storing and manipulating multi-omics single-cell datasets built on AnnData. Provides MuData objects wrapping multiple AnnData modalities (RNA, ATAC, prote
Use with AI
Install the MCP server or CLI to instantly fetch MuData documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/mudata
AntiFold — antibody-specific inverse folding model built on ESM-IF1, fine-tuned on antibody structures from SAbDab and OAS databases. Predicts residue log-likelihoods for antibody variable domains (IM
2 shared topics • 1 shared operation
BERN2 (Biomedical Entity Recognition and Normalization 2) is a biomedical NLP tool for named entity recognition and normalization in free text and PubMed abstracts. Identifies and normalizes genes, di
2 shared topics • 1 shared operation
BioGPT — domain-specific generative pre-trained transformer for biomedical text mining and generation, pre-trained on 15M+ PubMed abstracts. Supports biomedical text generation, relation extraction, q
2 shared topics • 1 shared operation
OGER (OntoGene Entity Recogniser) — dictionary-based biomedical named entity recognition (NER) tool that annotates text using ontology resources including UniProt, MeSH, CTD, CRAFT, and ChEBI. Accepts
2 shared topics • 1 shared operation
UCE (Universal Cell Embeddings) — species-agnostic cell embedding model from Stanford SNAP Lab that uses protein language models (ESM-2) to create universal cell representations without species-specif
2 shared topics • 1 shared operation