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.
deepTools for NGS Analysis
Automates high-throughput sequencing data analysis, from BAM file processing and quality control to publication-ready visualizations like heatmaps and profile plots.
Gemini CLI Integration
Integrates Google's Gemini models into Claude Code for advanced reasoning and multi-model code analysis.
Plotly Scientific Visualization
Generates interactive, publication-quality scientific and statistical charts using the Plotly Python library.
Datamol Cheminformatics
Simplifies molecular cheminformatics workflows by providing a Pythonic abstraction layer over RDKit for drug discovery and molecular analysis.
PyOpenMS for Mass Spectrometry
Analyzes proteomics and metabolomics data using the OpenMS library for comprehensive mass spectrometry workflows.
Biopython Bioinformatics
Simplifies molecular biology tasks using the Biopython library for sequence analysis, structural bioinformatics, and database integration.
NetworkX Graph Analysis
Simplifies the creation, manipulation, and analysis of complex network structures and graph algorithms in Python.
Biopython Bioinformatics Toolkit
Streamlines computational molecular biology tasks including sequence analysis, NCBI database integration, and structural protein modeling.
Biopython Molecular Biology
Performs advanced biological computation, sequence analysis, and programmatic access to NCBI databases using Python.
Pinecone Vector Database Integration
Streamlines the implementation and management of Pinecone vector databases for production-grade AI and RAG applications.
Cirq Quantum Computing
Develops, simulates, and optimizes quantum circuits for execution on diverse quantum hardware and high-performance simulators.
gget Bioinformatics Toolkit
Provides unified access to 20+ genomic databases and analysis methods for rapid bioinformatics research and sequence analysis.
FluidSim CFD Framework
Simulates high-performance fluid dynamics using pseudospectral methods and Python-based HPC workflows.
PyHealth Clinical AI Toolkit
Develops and deploys specialized machine learning models for healthcare using clinical datasets, medical coding systems, and deep learning architectures.
Cirq Quantum Computing
Designs, simulates, and executes quantum circuits on simulators and real quantum hardware using Google's Cirq framework.
FluidSim CFD Framework
Simulates complex fluid dynamics using high-performance Python pseudospectral methods for Navier-Stokes and geophysical flow equations.
Chroma Vector Database
Manages local and self-hosted vector embeddings for RAG-based AI applications and semantic search.
DiffDock Molecular Docking
Predicts high-accuracy 3D protein-ligand binding poses using diffusion-based deep learning for structure-based drug discovery.
COBRApy Metabolic Modeling
Performs constraint-based metabolic modeling and simulation for systems biology and metabolic engineering applications.
Hypogenic Scientific Hypothesis Generator
Automates the generation, refinement, and testing of scientific hypotheses using data-driven insights and literature integration.
EdgarTools SEC Analyzer
Analyzes SEC filings and financial statements using advanced EdgarTools integration for financial data extraction.
Arboreto Gene Regulatory Network Inference
Infers gene regulatory networks from transcriptomics data using scalable gradient boosting and random forest algorithms.
AI Multimodal Processing
Processes and generates audio, video, images, and complex documents using Google Gemini's advanced multimodal API capabilities.
Gtars Genomic Toolkit
Provides high-performance tools for genomic interval analysis, overlap detection, and machine learning preprocessing using Rust and Python.
Biomni Biomedical Research Agent
Automates complex biomedical research tasks including genomics, drug discovery, and clinical data analysis using an autonomous AI agent framework.
COBRApy Metabolic Modeling
Performs constraint-based reconstruction and analysis of metabolic models using Python for systems biology and metabolic engineering.
Gtars Genomic Toolkit
Accelerates genomic interval analysis and machine learning preprocessing using a high-performance Rust-based toolkit with Python bindings.
Histolab Digital Pathology Toolkit
Processes digital pathology whole slide images by automating tissue detection, tile extraction, and preprocessing for machine learning pipelines.
NCBI Gene Database Integration
Accesses and queries the NCBI Gene database to retrieve comprehensive genetic information, sequences, and functional annotations via E-utilities and Datasets APIs.
NetworkX Graph Analysis
Simplifies the creation, manipulation, and analysis of complex networks and graph data structures in Python.
Scroll for more results...