Data Science &amp; ML Habilidades de Claude

Performs rigorous statistical modeling, econometric analysis, and time series forecasting using the Statsmodels library.

Metabolomics Workbench Database

Accesses the NIH Metabolomics Workbench API to retrieve metabolite structures, study metadata, and standardized chemical nomenclature for biomarker discovery.

PubChem Database Explorer

Queries the PubChem database to retrieve chemical properties, perform structure searches, and access bioactivity data for over 110 million compounds.

DNAnexus Integration

Streamlines genomics pipeline development and data management on the DNAnexus cloud platform using the dxpy Python SDK.

Clinical Decision Support Documenter

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

Scientific Peer Review Toolkit

Conducts systematic, high-rigor peer reviews of scientific manuscripts and grant proposals across all major research disciplines.

Scientific Visualization

Generates publication-quality scientific figures and multi-panel layouts using Python libraries while adhering to journal-specific standards.

LatchBio Bioinformatics Integration

Builds and deploys serverless bioinformatics workflows using the Latch SDK and Registry.

Scientific Hypothesis Generator

Formulates testable, evidence-based scientific hypotheses and experimental designs from observations and literature.

PubMed Database Access

Facilitates advanced biomedical literature research and programmatic access to the PubMed database using E-utilities and complex query syntax.

Excel & Data Analysis Toolkit

Creates, edits, and analyzes Excel spreadsheets with production-grade formulas, formatting, and scientific visualizations.

Scientific Slides

Generates visually engaging, research-backed slide decks and presentations for academic conferences, seminars, and thesis defenses.

TorchDrug Scientific Skill

Accelerates drug discovery and molecular science workflows using graph neural networks and PyTorch-based modeling.

DiffDock Molecular Docking

Predicts 3D protein-ligand binding poses and confidence scores using state-of-the-art diffusion models for structure-based drug design.

deepTools NGS Analysis

Facilitates comprehensive Next-Generation Sequencing (NGS) data processing, quality control, and publication-quality visualization.

Medicinal Chemistry Toolkit

Filters and prioritizes molecular libraries using medicinal chemistry rules, structural alerts, and drug-likeness metrics.

DeepChem Molecular Machine Learning

Empowers molecular machine learning and drug discovery through advanced chemical featurization, property prediction, and Graph Neural Networks.

FlowIO FCS File Handler

Parses and manages Flow Cytometry Standard (FCS) files, enabling seamless conversion to NumPy arrays and metadata extraction for bioinformatics workflows.

GeoPandas Geospatial Analysis

Extends pandas to enable powerful spatial operations and vector data analysis for complex geographic workflows.

Matchms

Processes and analyzes mass spectrometry data using advanced spectral similarity metrics and automated metadata harmonization.

Gtars Genomic Toolkit

Performs high-performance genomic interval analysis and sequence tokenization using Rust-powered tools and Python bindings.

Bioinformatics & Genomic Data (gget)

Simplifies bioinformatics workflows by providing unified access to over 20 genomic and proteomic databases for sequence analysis and protein modeling.

Molfeat - Molecular Featurization Hub

Simplifies molecular featurization for machine learning by providing a unified interface for over 100 descriptors, fingerprints, and pretrained embeddings.

PennyLane Quantum Computing

Enables building, training, and optimizing quantum circuits and hybrid quantum-classical models using automatic differentiation and hardware-agnostic execution.

Plotly Scientific Visualization

Generates interactive, publication-quality scientific and statistical visualizations using the Plotly Python library.

PyMC Bayesian Modeling

Facilitates advanced Bayesian statistical modeling and probabilistic programming using the PyMC and ArviZ ecosystems.

Datamol Cheminformatics

Simplifies molecular cheminformatics and drug discovery workflows with a Pythonic abstraction layer for RDKit.

FluidSim CFD Framework

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

Matplotlib Scientific Visualization

Generates publication-quality scientific plots and data visualizations using Python's foundational plotting library.

Dask Parallel Computing

Accelerates and scales Python data processing by providing parallel and distributed computing capabilities for NumPy, pandas, and custom workflows.