scispaCy is a Python package for biomedical and scientific text processing built on spaCy. Provides pretrained NLP models for biomedical NER (disease, chemical, gene, mutation entities), entity linkin
Use with AI
Install the MCP server or CLI to instantly fetch scispaCy documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/scispacy
LitVar — biomedical literature mining for genetic variants. Search PubMed and PMC full-text articles for mentions of SNPs, indels, and other genetic variants by rsID, gene name, or HGVS notation. Retr
3 shared topics • 1 shared operation
Use when working with Sapiens — a BERT-based human antibody language model for antibody humanization, humanness scoring, and sequence design. Sapiens predicts humanizing mutations, scores residue-leve
3 shared topics • 1 shared operation
DeepCell — deep learning library for single-cell analysis of biological images using TensorFlow. Provides pretrained models for cell segmentation including Mesmer (multiplexed tissue imaging), nuclear
2 shared topics • 1 shared operation
Docker — container platform for building, running, and distributing reproducible bioinformatics environments. Provides Dockerfile authoring, image management, container execution with volume mounts fo
2 shared topics • 1 shared operation
DRAGEN (Dynamic Read Analysis for GENomics) — Illumina's FPGA-accelerated bioinformatics platform for secondary analysis of next-generation sequencing data. Performs hardware-accelerated mapping, alig
2 shared topics • 1 shared operation