Data Science & ML Habilidades de Claude

Arboreto GRN Inference

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

Datamol Cheminformatics

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

deepTools NGS Analysis

Processes and analyzes high-throughput sequencing data (NGS) to generate publication-quality visualizations and quality control metrics.

Prompt Engineering Patterns

Implements advanced prompt design techniques to maximize LLM performance, reliability, and token efficiency across all interactions.

Statsmodels Statistical Modeling

Performs rigorous statistical modeling, econometric analysis, and hypothesis testing using the Python statsmodels library.

ETE Toolkit Phylogenetic Analysis

Manipulates, analyzes, and visualizes phylogenetic trees with advanced support for evolutionary event detection and NCBI taxonomy integration.

Adaptyv Protein Validation

Automates protein testing and validation by connecting computational designs to cloud-based laboratory experiments and optimization tools.

Biopython Molecular Biology

Facilitates computational molecular biology tasks including sequence manipulation, NCBI database access, and structural bioinformatics analysis.

Scientific Hypothesis Generator

Generates testable, evidence-based scientific hypotheses and experimental designs across multiple research domains.

Scientific Peer Review

Evaluates scientific manuscripts and grant proposals for methodological rigor, statistical accuracy, and reporting standards.

DiffDock Molecular Docking

Performs state-of-the-art diffusion-based molecular docking to predict 3D binding poses of ligands to protein targets.

D3.js Data Visualisation

Builds interactive, bespoke data visualisations with fine-grained SVG control using the d3.js library.

Qiskit Quantum Computing

Accelerates quantum circuit development, hardware transpilation, and algorithm execution using the industry-standard Qiskit SDK.

Qdrant Vector Database Integration

Integrates Qdrant vector database with Java applications using Spring Boot and LangChain4j for high-performance semantic search and RAG.

ESM Protein Design & Analysis

Provides a comprehensive toolkit for protein language modeling, including generative design, structure prediction, and high-quality sequence embeddings.

Matchms Spectrometry Analysis

Processes and analyzes mass spectrometry data using Python for metabolomics and chemical identification.

FlowIO Flow Cytometry Handler

Parses and generates Flow Cytometry Standard (FCS) files, converting biological event data into NumPy arrays and DataFrames for scientific analysis.

Vaex Big Data Analysis

Processes and visualizes massive tabular datasets with billions of rows using memory-efficient out-of-core DataFrames.

NetworkX Graph Analysis

Analyzes and visualizes complex networks and graph data structures using the comprehensive NetworkX Python toolkit.

Denario Scientific Research

Automates the entire scientific research lifecycle from data analysis and hypothesis generation to publication-ready LaTeX manuscripts.

QuTiP Quantum Mechanics

Simulates and analyzes closed and open quantum systems using the QuTiP framework in Python.

GWAS Database Explorer

Queries the NHGRI-EBI GWAS Catalog to retrieve genetic variant-trait associations and summary statistics.

PathML Pathology Analysis

Analyzes whole-slide pathology images and multiparametric data using specialized computational workflows and machine learning.

Excel & Financial Modeling

Automates the creation, analysis, and maintenance of professional-grade Excel spreadsheets and financial models with dynamic formulas.

Astropy for Claude Code

Streamlines astronomical data analysis and astrophysical research using the core Astropy Python ecosystem.

HMDB Scientific Database Access

Access and interpret the Human Metabolome Database for metabolite identification, biomarker discovery, and clinical chemistry research.

LangChain4J Vector Stores Configuration

Configures and optimizes vector databases for Retrieval-Augmented Generation (RAG) applications using the LangChain4J framework.

Spark Optimization Pro

Optimizes Apache Spark data processing jobs through advanced partitioning, memory management, and shuffle tuning.

PyHealth AI Toolkit

Develops, tests, and deploys healthcare-specific machine learning models using clinical data and electronic health records.

CocoIndex AI Data Framework

Builds high-performance, incremental AI data transformation pipelines for vector databases and knowledge graphs.