Data Science & ML Claude 스킬

PubChem Database

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

Ensembl Genome Database Integration

Accesses and analyzes the Ensembl REST API for gene lookups, sequence retrieval, and advanced variant effect predictions in genomic research.

GWAS Catalog Explorer

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

PyTorch Lightning

Streamlines deep learning development by organizing PyTorch code into scalable, boilerplate-free LightningModules and automated training workflows.

OMERO Microscopy Integration

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

Open Targets Database

Queries the Open Targets Platform to identify and prioritize therapeutic drug targets using human genetics, omics, and clinical evidence.

Metabolomics Workbench Database

Accesses the NIH Metabolomics Workbench to query over 4,200 studies, standardize metabolite nomenclature, and perform mass spectrometry searches.

Adaptyv Protein Lab

Facilitates automated protein testing and validation through the Adaptyv cloud laboratory platform.

ENA Database Integration

Access and retrieve comprehensive nucleotide sequence data and metadata from the European Nucleotide Archive (ENA) for bioinformatics pipelines.

Clinical Decision Support

Generates professional, publication-ready clinical decision support documents and biomarker-stratified cohort analyses for pharmaceutical and clinical research.

Scientific Schematics

Generates publication-ready scientific diagrams and architectures with automated quality review and iterative refinement.

PyTorch Geometric Graph Learning

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

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.

Qiskit Quantum Computing

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

Flow Cytometry Data Processor

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

NetworkX Analysis

Builds, analyzes, and visualizes complex networks and graph data structures using the comprehensive NetworkX library for Python.

Mass Spectrometry Analysis (Matchms)

Processes and analyzes mass spectrometry data using the Matchms library for spectral similarity and metadata harmonization.

TorchDrug Discovery ML

Simplifies graph-based machine learning for drug discovery, protein modeling, and molecular science using the TorchDrug framework.

Scikit-Learn Machine Learning

Implements comprehensive machine learning workflows using scikit-learn for classification, regression, clustering, and data preprocessing.

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.

Biopython Molecular Biology

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

ETE Toolkit for Phylogenetics

Manipulates, analyzes, and visualizes phylogenetic and hierarchical trees for genomic research and evolutionary biology.

DiffDock Molecular Docking

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

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.

Scanpy Single-Cell Analysis

Performs comprehensive single-cell RNA-seq analysis workflows including quality control, normalization, clustering, and cell-type annotation.

Scientific Critical Thinking

Evaluates the rigor, methodology, and statistical validity of scientific research using established frameworks like GRADE and Cochrane.

Pysam Genomic Toolkit

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

PyDESeq2 Analysis

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