Data Science & ML Claude 技能

Scientific Schematics & Diagrams

Generates publication-quality scientific diagrams and architectural schematics using AI-driven iterative refinement and quality auditing.

KEGG Database Connector

Facilitates direct REST API access to the Kyoto Encyclopedia of Genes and Genomes for biological pathway analysis and molecular mapping.

Reactome Database

Facilitates systems biology research by querying the Reactome REST API for pathway analysis, gene mapping, and molecular interactions.

LabArchives Integration

Automates electronic lab notebook management through the LabArchives REST API for research documentation, data backups, and tool integration.

FDA Database Access

Accesses and analyzes comprehensive FDA regulatory data for drugs, medical devices, and food safety through the openFDA API.

Zarr Python Scientific Computing

Manages large-scale N-dimensional arrays with chunking, compression, and cloud-native storage integration.

Plotly Scientific Visualization

Generates interactive, publication-quality scientific and statistical visualizations using the Plotly Python library.

PyMC Bayesian Modeling

Facilitates advanced Bayesian statistical modeling and probabilistic programming using the PyMC and ArviZ ecosystems.

GeoPandas Geospatial Analysis

Extends pandas to enable powerful spatial operations and vector data analysis for complex geographic workflows.

FlowIO FCS File Handler

Parses and manages Flow Cytometry Standard (FCS) files, enabling seamless conversion to NumPy arrays and metadata extraction for bioinformatics workflows.

PennyLane Quantum Computing

Enables building, training, and optimizing quantum circuits and hybrid quantum-classical models using automatic differentiation and hardware-agnostic execution.

NetworkX Graph Analysis

Builds, analyzes, and visualizes complex network structures and graph algorithms using Python's NetworkX library.

DeepChem Molecular Machine Learning

Empowers molecular machine learning and drug discovery through advanced chemical featurization, property prediction, and Graph Neural Networks.

Medicinal Chemistry Toolkit

Filters and prioritizes molecular libraries using medicinal chemistry rules, structural alerts, and drug-likeness metrics.

DiffDock Molecular Docking

Predicts 3D protein-ligand binding poses and confidence scores using state-of-the-art diffusion models for structure-based drug design.

Molfeat - Molecular Featurization Hub

Simplifies molecular featurization for machine learning by providing a unified interface for over 100 descriptors, fingerprints, and pretrained embeddings.

Matplotlib Scientific Visualization

Generates publication-quality scientific plots and data visualizations using Python's foundational plotting library.

Polars High-Performance Dataframes

Accelerates data analysis workflows using Polars' lightning-fast, expression-based API and lazy evaluation framework.

Pymoo Multi-Objective Optimization

Solves complex multi-objective optimization problems using evolutionary algorithms to find Pareto-optimal solutions.

PyDESeq2 Gene Expression Analysis

Performs differential gene expression analysis on bulk RNA-seq data using Python's DESeq2 implementation.

Matchms

Processes and analyzes mass spectrometry data using advanced spectral similarity metrics and automated metadata harmonization.

FluidSim CFD Framework

Simulates high-performance computational fluid dynamics using pseudospectral methods and Python-based solvers.

Dask Parallel Computing

Accelerates and scales Python data processing by providing parallel and distributed computing capabilities for NumPy, pandas, and custom workflows.

Datamol Cheminformatics

Simplifies molecular cheminformatics and drug discovery workflows with a Pythonic abstraction layer for RDKit.

Pymatgen Materials Science

Analyzes crystal structures, generates phase diagrams, and integrates with the Materials Project for advanced computational materials science.

deepTools NGS Analysis

Facilitates comprehensive Next-Generation Sequencing (NGS) data processing, quality control, and publication-quality visualization.

Bioinformatics & Genomic Data (gget)

Simplifies bioinformatics workflows by providing unified access to over 20 genomic and proteomic databases for sequence analysis and protein modeling.

Gtars Genomic Toolkit

Performs high-performance genomic interval analysis and sequence tokenization using Rust-powered tools and Python bindings.

ETE Toolkit for Phylogenetics

Manipulates, analyzes, and visualizes phylogenetic trees and hierarchical data using the Environment for Tree Exploration (ETE) framework.

COBRApy Scientific Modeling

Performs constraint-based metabolic modeling and systems biology analysis using the COBRApy library.