Data Science & ML Claudeスキル

UMAP Machine Learning

Performs fast non-linear dimensionality reduction and manifold learning for data visualization and clustering preprocessing.

PubChem Database

Accesses the world's largest chemical database to search compounds, retrieve molecular properties, and perform structure-based searches.

ZINC Database Search

Accesses over 230 million purchasable chemical compounds for virtual screening, drug discovery, and molecular docking studies.

Statsmodels Statistical Analysis

Provides a comprehensive toolkit for rigorous statistical modeling, econometric analysis, and time-series forecasting within the Claude environment.

KEGG Database Connector

Facilitates direct REST API access to the KEGG database for biological pathway analysis, gene mapping, and molecular interaction research.

Pymatgen Materials Science

Enables advanced materials science research through crystal structure manipulation, thermodynamic analysis, and Materials Project database integration.

DeepChem Molecular Machine Learning

Applies advanced machine learning techniques to chemistry, biology, and materials science for molecular property prediction and drug discovery.

LatchBio Bioinformatics Workflows

Builds and deploys serverless bioinformatics pipelines using the Latch SDK and cloud infrastructure.

CELLxGENE Census Analysis

Accesses and analyzes over 61 million standardized single-cell genomics records from the CZ CELLxGENE Census.

STRING Protein Interaction Database

Analyzes protein-protein interaction networks and performs functional enrichment using the STRING database's 20 billion interactions.

COBRApy Metabolic Modeling

Performs constraint-based reconstruction and analysis of metabolic models for systems biology and metabolic engineering tasks.

Market Research Report Generator

Generates comprehensive, consultant-grade market research reports with professional LaTeX formatting and integrated strategic visualizations.

BioServices Bioinformatics Tool

Streamlines access to over 40 bioinformatics web services and databases for biological data retrieval and cross-database analysis.

HMDB Scientific Database Access

Accesses the Human Metabolome Database (HMDB) to retrieve comprehensive data on small molecule metabolites, clinical biomarkers, and biochemical pathways.

FluidSim CFD Framework

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

COSMIC Cancer Database

Integrates the world's most comprehensive cancer mutation database into your research workflow to query somatic mutations, signatures, and gene census data.

PyOpenMS Mass Spectrometry

Facilitates advanced mass spectrometry data analysis using the Python interface to the OpenMS library for proteomics and metabolomics.

Biopython Molecular Biology

Performs complex biological computation, sequence analysis, and bioinformatics workflows using the Biopython library.

DiffDock Molecular Docking

Predicts high-accuracy 3D protein-ligand binding poses using state-of-the-art diffusion-based deep learning models.

Pymoo Optimization

Solves complex single and multi-objective optimization problems using evolutionary algorithms and Pareto front analysis.

Zarr Python Scientific Data

Manages large-scale N-dimensional arrays with chunked storage, compression, and cloud-native parallel I/O.

Datamol Cheminformatics

Simplifies molecular cheminformatics workflows by providing a Pythonic wrapper for RDKit with sensible defaults and parallel processing.

Pysam Genomic Toolkit

Manipulates genomic datasets including SAM, BAM, VCF, and FASTA files through a Pythonic interface to htslib.

PyTorch Geometric Graph Learning

Develops and trains Graph Neural Networks (GNNs) for node classification, link prediction, and geometric deep learning tasks.

Qiskit Quantum Computing

Builds, optimizes, and executes quantum circuits and algorithms on simulators or real hardware using the Qiskit framework.

PyTDC Drug Discovery

Accesses AI-ready Therapeutics Data Commons (TDC) datasets and benchmarks for drug discovery and pharmaceutical machine learning.

PyDESeq2 Analysis

Performs comprehensive differential gene expression analysis from bulk RNA-seq count data using the Python implementation of DESeq2.

Flow Cytometry Data Processor

Parses and manipulates Flow Cytometry Standard (FCS) files, converting biological data into NumPy arrays and CSV formats for scientific analysis.

NCBI Gene Database Explorer

Integrates NCBI Gene data access into Claude for querying sequences, functional annotations, and genomic metadata.

Reactome Pathway Analysis

Integrates the Reactome database to perform pathway enrichment, gene-pathway mapping, and molecular interaction analysis for systems biology.