Data Science & ML Claude 技能

GWAS Catalog Explorer

Queries the NHGRI-EBI GWAS Catalog for genetic variants, SNP-trait associations, and summary statistics to support genetic epidemiology research.

Exploratory Data Analysis Toolkit

Automates comprehensive statistical analysis and visual profiling for diverse datasets to uncover hidden patterns, anomalies, and actionable insights.

DrugBank Database

Accesses and analyzes comprehensive pharmaceutical data from DrugBank to perform drug discovery research, interaction analysis, and target identification.

PubChem Database Explorer

Accesses the world's largest chemical database to retrieve compound properties, structures, and bioactivity data for cheminformatics workflows.

PathML

Analyzes whole-slide pathology images and multiparametric imaging data using computational tools for tissue segmentation, spatial graphs, and machine learning.

COBRApy Metabolic Modeling

Facilitates constraint-based reconstruction and analysis (COBRA) of metabolic models for systems biology and metabolic engineering.

HMDB Database Explorer

Accesses the Human Metabolome Database to retrieve detailed chemical, clinical, and biological data for over 220,000 metabolites.

scikit-survival Analysis

Performs comprehensive survival analysis and time-to-event modeling using the scikit-survival Python library.

DNAnexus Integration

Streamlines genomics data analysis and pipeline development on the DNAnexus cloud platform using the dxpy SDK and CLI tools.

DeepTools Bioinformatics Suite

Analyzes and visualizes high-throughput sequencing data for genomics research and quality control.

Ensembl Genome Database

Queries the Ensembl REST API to retrieve genomic annotations, sequences, variants, and comparative genomics data for over 250 species.

Video Processing

Provides structured guidance for video analysis, motion detection, and temporal event tracking using computer vision techniques.

Datamol Cheminformatics

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

Matchms MS Data Processing

Processes and analyzes mass spectrometry data using Python-based spectral similarity and metadata harmonization.

OMERO Microscopy Data Management

Manages and analyzes microscopy data through the OMERO Python API, including image processing, metadata handling, and ROI management.

RStan to PyStan Conversion

Translates Stan statistical models and inference code from R (RStan) to Python (PyStan 3.x) while handling API mappings and output differences.

PyTorch Model CLI Implementation

Implements standalone command-line inference tools in C, C++, and Rust by extracting weights and logic from PyTorch models without Python dependencies.

SimPy Simulation

Builds and optimizes discrete-event simulation models to analyze complex systems like logistics, manufacturing, and networks.

Protein Data Bank (PDB) Integration

Accesses and interacts with the RCSB Protein Data Bank to search, retrieve, and analyze 3D structures of biological macromolecules.

GPT-2 Code Golf Implementation

Implements neural network inference for transformer architectures within extreme code size constraints and minimal environments.

Dask Parallel Computing

Enables parallel and distributed computing in Python to scale pandas and NumPy operations beyond memory limits.

Scikit-learn Machine Learning Toolkit

Implements comprehensive machine learning workflows including classification, regression, and data preprocessing using the industry-standard Scikit-learn library.

TorchDrug Scientific Computing

Accelerates drug discovery and molecular research by providing specialized tools for graph neural networks, protein modeling, and chemical property prediction.

Advanced DQMC Simulations

Facilitates advanced Deterministic Quantum Monte Carlo (DQMC) simulations, including unequal-time measurements and analytic continuation.

PyTorch Lightning

Organizes and scales PyTorch deep learning workflows by automating training loops, hardware orchestration, and boilerplate code.

Treasure Data Parent Segment Analysis

Queries and analyzes Treasure Data CDP parent segments to uncover deep customer insights and behavioral patterns.

DNA Assembly

Designs and validates DNA assembly strategies, including Golden Gate and Gibson assembly, with precise requirements for Type IIS restriction enzyme primers.

Metabolomics Workbench Database

Accesses the NIH Metabolomics Workbench to query metabolite data, study metadata, and standardized nomenclature for biomarker discovery.

Pymoo Optimization

Implements advanced multi-objective and many-objective optimization frameworks using state-of-the-art evolutionary algorithms and Pareto analysis.

PyDESeq2 Gene Expression Analysis

Identifies differentially expressed genes from bulk RNA-seq counts using the PyDESeq2 statistical framework.