Data Science & ML Claude 技能

Seaborn Statistical Visualization

Generates publication-quality statistical graphics and complex data visualizations using the Seaborn Python library.

Arboreto GRN Inference

Infers gene regulatory networks from transcriptomics data using high-performance algorithms like GRNBoost2 and GENIE3.

NCBI GEO Data Access

Accesses and manages NCBI Gene Expression Omnibus (GEO) data for transcriptomics and functional genomics research.

Zarr Python Scientific Data

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

RCSB PDB Database Access

Enables programmatic access to the RCSB Protein Data Bank for searching, retrieving, and analyzing 3D structures of biological macromolecules.

PyOpenMS Mass Spectrometry

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

Pymoo Optimization

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

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.

Statsmodels Statistical Analysis

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

Pymatgen Materials Science

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

GWAS Catalog Explorer

Queries the NHGRI-EBI GWAS Catalog to retrieve genetic variant associations, study metadata, and genomic summary statistics.

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.

Flow Cytometry Data Processor

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

Gtars Genomic Analysis

Processes and analyzes high-performance genomic interval data for computational biology and machine learning applications.

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.

FluidSim CFD Framework

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

KEGG Database Connector

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

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.

PyTDC Drug Discovery

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

NCBI Gene Database Explorer

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

PyTorch Geometric Graph Learning

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

PyDESeq2 Analysis

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

OMERO Microscopy Integration

Manages and analyzes microscopy data programmatically using the OMERO Python API and data management platform.

Bioinformatics & Genomic Data (gget)

Provides unified, rapid access to over 20 genomic databases and bioinformatics analysis tools for DNA and protein research.