Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Queries the Open Targets Platform to identify therapeutic drug targets and analyze disease-target associations using human genetics and omics data.
Accesses and analyzes comprehensive FDA regulatory data for drugs, medical devices, and food safety through the openFDA API.
Generates publication-ready clinical decision support documents and biomarker-stratified cohort analyses for pharmaceutical and clinical research.
Facilitates automated queries to the Ensembl REST API for gene annotation, sequence retrieval, and comparative genomic analysis across 250+ species.
Develop and train Graph Neural Networks using PyTorch Geometric for node classification, link prediction, and molecular modeling.
Facilitates programmatic access to the ClinicalTrials.gov API v2 to search, filter, and export global clinical study data for research and patient matching.
Facilitates collaborative research ideation and hypothesis generation for scientists and academic researchers.
Generates publication-quality scientific figures and multi-panel layouts using Python libraries while adhering to journal-specific standards.
Streamlines genomics pipeline development and data management on the DNAnexus cloud platform using the dxpy Python SDK.
Queries the NHGRI-EBI GWAS Catalog for SNP-trait associations, genetic variants, and summary statistics to support genetic epidemiology and polygenic risk score development.
Builds and deploys serverless bioinformatics workflows using the Latch SDK and Registry.
Accesses the NIH Metabolomics Workbench API to retrieve metabolite structures, study metadata, and standardized chemical nomenclature for biomarker discovery.
Performs rigorous statistical modeling, econometric analysis, and time series forecasting using the Statsmodels library.
Formulates testable, evidence-based scientific hypotheses and experimental designs from observations and literature.
Queries the PubChem database to retrieve chemical properties, perform structure searches, and access bioactivity data for over 110 million compounds.
Accesses and analyzes over 200 million AI-predicted protein structures for bioinformatics and structural biology research.
Queries the ChEMBL database to retrieve bioactive molecule data, drug targets, and bioactivity measurements for medicinal chemistry.
Accesses the comprehensive BRENDA enzyme database to retrieve kinetic parameters, biochemical reactions, and metabolic pathway data.
Accesses and queries the Catalogue of Somatic Mutations in Cancer (COSMIC) to retrieve high-quality genomic data for precision oncology and cancer research.
Reads, manipulates, and writes genomic datasets including BAM, VCF, and FASTA files using a Pythonic interface to htslib.
Automates R&D data management by integrating Claude with the Benchling platform for biological entity tracking, inventory control, and lab notebook documentation.
Accesses the European Nucleotide Archive (ENA) to retrieve DNA/RNA sequences, raw reads, and genome assemblies for bioinformatics pipelines.
Generates publication-quality statistical graphics and complex data visualizations using a high-level, dataset-oriented Python interface.
Facilitates advanced molecular analysis and cheminformatics workflows including property calculation, substructure searching, and 3D coordinate generation.
Automates laboratory liquid handling workflows by writing Python-based Protocol API v2 scripts for Opentrons Flex and OT-2 robots.
Provides direct REST API access to UniProt for protein sequence retrieval, identifier mapping, and comprehensive functional annotation searches.
Analyzes mass spectrometry data using Python bindings for OpenMS to process complex proteomics and metabolomics workflows.
Facilitates drug discovery and therapeutic machine learning with curated datasets, ADMET benchmarks, and molecular optimization oracles.
Conducts real-time academic research, literature reviews, and technical documentation lookups with automated model selection and proper citations.
Accesses and processes NCBI Gene Expression Omnibus (GEO) data for transcriptomics and functional genomics research.
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