Data Science & ML Habilidades de Claude

Scanpy Single-Cell Analysis

Performs end-to-end single-cell RNA-seq analysis workflows including quality control, clustering, and cell type annotation using the Scanpy toolkit.

PubChem Database Explorer

Accesses and analyzes chemical data from the world's largest open chemical database using PUG-REST and PubChemPy.

Datamol Cheminformatics

Simplifies molecular cheminformatics and drug discovery workflows using a Pythonic interface for RDKit.

Pydicom Medical Imaging

Reads, writes, and manipulates DICOM medical imaging data and metadata for healthcare and research applications.

Scientific Peer Review

Conducts rigorous, systematic evaluations of scientific manuscripts and grant proposals across various research disciplines.

ToolUniverse Scientific Research

Empowers AI agents to perform complex scientific research tasks using a unified ecosystem of 600+ specialized tools and databases.

Polars Data Science & Analysis

Accelerates data manipulation and analysis using the high-performance Polars DataFrame library and its optimized expression-based API.

NCBI GEO Database Tool

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

GWAS Catalog Database

Queries the NHGRI-EBI GWAS Catalog to retrieve SNP-trait associations, genetic variant data, and genome-wide association study summary statistics.

PyMC Bayesian Modeling

Builds and validates complex Bayesian models for probabilistic inference using PyMC and ArviZ.

Dask Parallel Computing

Enables parallel and distributed computing for Python data science workflows to process datasets larger than available memory.

FlowIO Flow Cytometry Handler

Parses and manages Flow Cytometry Standard (FCS) files, converting biological data into NumPy arrays and dataframes for analysis.

SymPy Symbolic Mathematics

Performs exact symbolic computation, calculus, and equation solving in Python to handle complex mathematical formulas without numerical approximation.

NetworkX Graph Analysis

Builds, analyzes, and visualizes complex graph structures and network data using the powerful NetworkX Python library.

Arboreto GRN Inference

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

BioServices Bioinformatics Toolkit

Provides programmatic access to over 40 bioinformatics web services and databases for biological data retrieval and cross-platform analysis.

Seaborn Statistical Visualization

Generates professional, publication-quality statistical graphics and complex multi-panel data visualizations using Python's Seaborn library.

PyHealth Healthcare AI

Develops and deploys specialized machine learning models for clinical healthcare data, electronic health records, and medical coding systems.

Transformers AI Model Integration

Integrates Hugging Face Transformers for advanced natural language processing, computer vision, and audio tasks within development workflows.

ENA Bioinformatics & Genomics Data

Accesses and retrieves nucleotide sequences, raw reads, and genome assemblies from the European Nucleotide Archive (ENA) via REST APIs and FTP.

Mass Spectrometry Analysis with PyOpenMS

Analyzes mass spectrometry data for proteomics and metabolomics workflows using the PyOpenMS library.

Matchms Mass Spectrometry Analysis

Processes and analyzes mass spectrometry data using standardized metadata, peak filtering, and advanced spectral similarity metrics.

PyDESeq2 Analysis

Performs differential gene expression analysis on bulk RNA-seq data using the PyDESeq2 statistical framework.

PDB Database Structural Biology

Accesses and analyzes 3D protein and nucleic acid structures from the RCSB Protein Data Bank for research and discovery.

Hypogenic Scientific Hypothesis Engine

Generates and tests scientific hypotheses automatically by combining observational data with literature insights using LLMs.

scvi-tools for Single-Cell Analysis

Facilitates advanced probabilistic modeling and analysis of single-cell omics data using deep generative models.

Zarr Python Scientific Data

Manages large-scale N-dimensional arrays with efficient chunking, compression, and cloud-native storage integration.

PufferLib RL Framework

Develops high-performance reinforcement learning systems with optimized PPO training, vectorized simulations, and multi-agent support.

TorchDrug Science Toolkit

Provides an advanced machine learning framework for drug discovery, molecular property prediction, and protein modeling using PyTorch.

PyLabRobot Lab Automation

Automates laboratory workflows and controls liquid handling robots, plate readers, and analytical equipment through a unified Python interface.