发现data science & ml类别的 Claude 技能。浏览 61 个技能,找到适合您 AI 工作流程的完美功能。
Access and analyze genomic variant clinical significance data from NCBI's ClinVar archive.
Accesses comprehensive pharmacogenomics data including gene-drug interactions, CPIC guidelines, and allele functions for precision medicine.
Accesses and analyzes comprehensive FDA regulatory data for drugs, medical devices, and food safety through the openFDA API.
Creates, edits, and analyzes Excel spreadsheets with production-grade formulas, formatting, and scientific visualizations.
Accesses and analyzes RCSB Protein Data Bank (PDB) structures, metadata, and 3D coordinates for structural biology and drug discovery research.
Performs comprehensive statistical testing, hypothesis verification, and research data modeling using Python's scientific ecosystem.
Provides direct REST API access to UniProt for protein sequence retrieval, identifier mapping, and comprehensive functional annotation searches.
Queries the PubChem database to retrieve chemical properties, perform structure searches, and access bioactivity data for over 110 million compounds.
Conducts real-time academic research, literature reviews, and technical documentation lookups with automated model selection and proper citations.
Conducts systematic, high-rigor peer reviews of scientific manuscripts and grant proposals across all major research disciplines.
Simulates and analyzes closed and open quantum systems using the Quantum Toolbox in Python (QuTiP).
Generates publication-ready clinical decision support documents and biomarker-stratified cohort analyses for pharmaceutical and clinical research.
Generates publication-quality scientific diagrams and architectural schematics using AI-driven iterative refinement and quality auditing.
Accelerates drug discovery and molecular science workflows using graph neural networks and PyTorch-based modeling.
Automates electronic lab notebook management through the LabArchives REST API for research documentation, data backups, and tool integration.
Queries and retrieves comprehensive genomic data from NCBI Gene using E-utilities and Datasets APIs for scientific analysis.
Facilitates advanced molecular analysis and cheminformatics workflows including property calculation, substructure searching, and 3D coordinate generation.
Facilitates advanced biomedical literature research and programmatic access to the PubMed database using E-utilities and complex query syntax.
Facilitates direct REST API access to the Kyoto Encyclopedia of Genes and Genomes for biological pathway analysis and molecular mapping.
Accesses the NIH Metabolomics Workbench API to retrieve metabolite structures, study metadata, and standardized chemical nomenclature for biomarker discovery.
Integrates OMERO microscopy data management with Python for advanced image analysis, metadata handling, and automated screening workflows.
Accesses the Human Metabolome Database to retrieve chemical, clinical, and spectroscopic data for over 220,000 metabolites.
Develop and train Graph Neural Networks using PyTorch Geometric for node classification, link prediction, and molecular modeling.
Streamlines deep learning development by organizing PyTorch code into scalable, modular structures for automated training and multi-GPU orchestration.
Generates publication-quality statistical graphics and complex data visualizations using a high-level, dataset-oriented Python interface.
Generates 50+ page, consulting-grade market research reports with professional LaTeX formatting and data-driven strategic frameworks.
Automates laboratory liquid handling workflows by writing Python-based Protocol API v2 scripts for Opentrons Flex and OT-2 robots.
Facilitates automated queries to the Ensembl REST API for gene annotation, sequence retrieval, and comparative genomic analysis across 250+ species.
Accesses and analyzes protein-protein interaction networks and functional enrichment data using the STRING API.
Accesses the ZINC database of 230M+ purchasable compounds for virtual screening, drug discovery, and molecular docking studies.
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