Data Science & ML Habilidades de Claude
Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Scikit-bio (Biological Data Analysis)
Performs comprehensive biological data analysis including sequence manipulation, phylogenetics, and microbial ecology statistics.
NCBI GEO Genomics Assistant
Accesses and processes NCBI Gene Expression Omnibus (GEO) data for transcriptomics and functional genomics research.
ClinPGx Pharmacogenomics Database
Accesses comprehensive pharmacogenomics data including gene-drug interactions, CPIC guidelines, and allele functions for precision medicine.
PyTorch Lightning
Streamlines deep learning development by organizing PyTorch code into scalable, modular structures for automated training and multi-GPU orchestration.
Scientific Peer Review Toolkit
Conducts systematic, high-rigor peer reviews of scientific manuscripts and grant proposals across all major research disciplines.
PyTorch Geometric (PyG) Graph Learning
Develop and train Graph Neural Networks using PyTorch Geometric for node classification, link prediction, and molecular modeling.
FDA Database Access
Accesses and analyzes comprehensive FDA regulatory data for drugs, medical devices, and food safety through the openFDA API.
COSMIC Cancer Genomics
Accesses and queries the Catalogue of Somatic Mutations in Cancer (COSMIC) to retrieve high-quality genomic data for precision oncology and cancer research.
UniProt Protein Database
Provides direct REST API access to UniProt for protein sequence retrieval, identifier mapping, and comprehensive functional annotation searches.
PDB Structural Biology & Drug Discovery
Accesses and analyzes RCSB Protein Data Bank (PDB) structures, metadata, and 3D coordinates for structural biology and drug discovery research.
ChEMBL Database & Drug Discovery
Queries the ChEMBL database to retrieve bioactive molecule data, drug targets, and bioactivity measurements for medicinal chemistry.
Clinical Decision Support Documenter
Generates publication-ready clinical decision support documents and biomarker-stratified cohort analyses for pharmaceutical and clinical research.
Qiskit Quantum Computing
Develops, optimizes, and executes quantum circuits and algorithms across various hardware backends using the Qiskit framework.
Gtars Genomic Toolkit
Performs high-performance genomic interval analysis and sequence tokenization using Rust-powered tools and Python bindings.
GeoPandas Geospatial Analysis
Extends pandas to enable powerful spatial operations and vector data analysis for complex geographic workflows.
Matchms
Processes and analyzes mass spectrometry data using advanced spectral similarity metrics and automated metadata harmonization.
Bioinformatics & Genomic Data (gget)
Simplifies bioinformatics workflows by providing unified access to over 20 genomic and proteomic databases for sequence analysis and protein modeling.
Molfeat - Molecular Featurization Hub
Simplifies molecular featurization for machine learning by providing a unified interface for over 100 descriptors, fingerprints, and pretrained embeddings.
PyMC Bayesian Modeling
Facilitates advanced Bayesian statistical modeling and probabilistic programming using the PyMC and ArviZ ecosystems.
DeepChem Molecular Machine Learning
Empowers molecular machine learning and drug discovery through advanced chemical featurization, property prediction, and Graph Neural Networks.
Datamol Cheminformatics
Simplifies molecular cheminformatics and drug discovery workflows with a Pythonic abstraction layer for RDKit.
FlowIO FCS File Handler
Parses and manages Flow Cytometry Standard (FCS) files, enabling seamless conversion to NumPy arrays and metadata extraction for bioinformatics workflows.
deepTools NGS Analysis
Facilitates comprehensive Next-Generation Sequencing (NGS) data processing, quality control, and publication-quality visualization.
Pymoo Multi-Objective Optimization
Solves complex multi-objective optimization problems using evolutionary algorithms to find Pareto-optimal solutions.
NetworkX Graph Analysis
Builds, analyzes, and visualizes complex network structures and graph algorithms using Python's NetworkX library.
Pymatgen Materials Science
Analyzes crystal structures, generates phase diagrams, and integrates with the Materials Project for advanced computational materials science.
DiffDock Molecular Docking
Predicts 3D protein-ligand binding poses and confidence scores using state-of-the-art diffusion models for structure-based drug design.
Medicinal Chemistry Toolkit
Filters and prioritizes molecular libraries using medicinal chemistry rules, structural alerts, and drug-likeness metrics.
PyDESeq2 Gene Expression Analysis
Performs differential gene expression analysis on bulk RNA-seq data using Python's DESeq2 implementation.
Plotly Scientific Visualization
Generates interactive, publication-quality scientific and statistical visualizations using the Plotly Python library.
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