Data Science & ML Claudeスキル

Hypogenic Scientific Hypothesis Discovery

Automates scientific hypothesis generation and testing from tabular datasets using LLMs and literature integration.

NCBI Gene Database Explorer

Queries and retrieves comprehensive gene information from NCBI databases for genomic research and functional analysis.

GEO Database Explorer

Accesses and analyzes functional genomics data from the NCBI Gene Expression Omnibus (GEO) repository.

PathML Pathology Toolkit

Analyzes whole-slide pathology images and multiparametric imaging data using a comprehensive computational pathology toolkit.

TorchDrug Molecular Science

Accelerates drug discovery and molecular research using graph neural networks and PyTorch-based machine learning.

Arboreto Gene Regulatory Network Inference

Infers gene regulatory networks from transcriptomics data using scalable algorithms like GRNBoost2 and GENIE3.

PyDESeq2 Bioinformatics Analysis

Performs differential gene expression analysis on bulk RNA-seq data using the DESeq2 framework within Python.

Biopython Bioinformatics Toolkit

Automates computational molecular biology tasks including sequence manipulation, NCBI database queries, and structural analysis.

Single-Cell Omics Analysis (scvi-tools)

Analyzes single-cell omics data using deep generative models for batch correction, multimodal integration, and differential expression.

Hypogenic Scientific Discovery

Automates the generation and testing of scientific hypotheses by synthesizing empirical data and existing research literature.

Vaex Big Data Analysis

Processes and visualizes massive tabular datasets exceeding available RAM using high-performance out-of-core DataFrame operations.

Astropy Scientific Computing

Performs advanced astronomical data analysis, coordinate transformations, and cosmological calculations using the core Astropy Python library.

Matchms Mass Spectrometry Analysis

Processes and analyzes mass spectrometry data through spectral similarity, metadata harmonization, and automated workflows.

Cosmic Cancer Database Integration

Accesses and manages somatic mutation data from the COSMIC database for cancer research and precision oncology.

DeepChem Molecular ML

Streamlines molecular machine learning and drug discovery by providing specialized featurizers, graph neural networks, and chemical benchmark datasets.

CZ CELLxGENE Census Explorer

Queries and analyzes large-scale single-cell genomics data from the CZ CELLxGENE Census repository.

Seaborn Statistical Visualization

Creates publication-quality statistical graphics and complex multi-panel data visualizations with minimal Python code.

Matplotlib Scientific Visualization

Create publication-quality static, animated, and interactive visualizations using Python's foundational plotting library.

Pydicom Medical Imaging

Processes and manipulates DICOM medical imaging files for healthcare data analysis and clinical workflow integration.

Bioinformatics Data & Analysis (gget)

Provides a unified interface for rapid bioinformatics queries, genomic sequence analysis, and protein structure prediction across 20+ scientific databases.

HMDB Scientific Database

Accesses and queries the Human Metabolome Database (HMDB) for detailed metabolite information, chemical properties, and clinical biomarkers.

FDA Regulatory Data Access

Queries the openFDA API to retrieve comprehensive data on drugs, medical devices, food safety, and regulatory submissions.

Stable Baselines3 Reinforcement Learning

Implements and optimizes reinforcement learning workflows using the Stable Baselines3 PyTorch library.

Ensembl Genome Database Integration

Queries the Ensembl REST API for genomic data, sequence retrieval, variant analysis, and comparative genomics across 250+ species.

SimPy Simulation Framework

Builds process-based discrete-event simulations in Python to model complex systems like manufacturing, logistics, and network traffic.

Genomic Tools and Algorithms in Rust (Gtars)

Simplifies high-performance genomic interval analysis and machine learning preprocessing using Rust-powered toolsets.

Pymoo Optimization

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

Pysam Genomic Data Processing

Processes and analyzes high-throughput sequencing data including SAM, BAM, VCF, and FASTA files using a Pythonic interface to htslib.

SymPy Symbolic Mathematics

Performs exact symbolic mathematical computations including algebra, calculus, and equation solving using the SymPy Python library.

LaminDB Biological Data Framework

Manages biological datasets with automated lineage tracking, ontology-based validation, and FAIR data principles through a unified Python API.