Data Science & ML Habilidades de Claude

RAG Implementation Toolkit

16

Builds robust Retrieval-Augmented Generation systems using vector databases, semantic search, and optimized retrieval pipelines.

Ensembl Genome Database

16

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

PubChem Database Explorer

16

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

DiffDock Molecular Docking

16

Predicts high-accuracy 3D binding poses for protein-ligand complexes using diffusion-based deep learning models.

AlphaFold Database Access

16

Facilitates the retrieval and analysis of over 200 million AI-predicted protein structures from the AlphaFold DB for biological research and drug discovery.

Matchms MS Data Processing

16

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

pyOpenMS Proteomics Toolkit

16

Processes mass spectrometry data for proteomics and metabolomics analysis using the pyOpenMS library.

LangChain Architecture

16

Architects sophisticated LLM applications using the LangChain framework with support for autonomous agents, memory management, and RAG patterns.

DNAnexus Integration

16

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

CSV Data Summarizer

16

Automatically analyzes CSV files to generate comprehensive statistical summaries and tailored visualizations without requiring user prompts.

DeepTools Bioinformatics Suite

16

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

RDKit Cheminformatics

16

Enables advanced molecular modeling, chemical property calculation, and structural analysis within Python workflows.

FlowIO Flow Cytometry Handler

16

Parses and manipulates Flow Cytometry Standard (FCS) files to extract event data as NumPy arrays and manage metadata.

Excel Analysis & Automation

16

Automates complex Excel data processing, visualization, and formatting using powerful Python libraries like Pandas and OpenPyXL.

ZINC Scientific Database

16

Accesses the ZINC database of 230M+ purchasable compounds for drug discovery, virtual screening, and molecular analog searching.

Scientific Critical Thinking

16

Evaluates scientific rigor by assessing research methodology, statistical validity, and potential biases using industry-standard frameworks.

COSMIC Cancer Genomics Access

16

Accesses the world's largest somatic mutation database for cancer research and precision oncology data retrieval.

Scientific Hypothesis Generator

16

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

NCBI Gene Database Tools

16

Queries and retrieves genomic data from NCBI Gene databases using E-utilities and the modern Datasets API.

ENA Database Access

16

Accesses the European Nucleotide Archive to retrieve genomic sequences, raw reads, and metadata for bioinformatics pipelines.

Scientific Data Visualization

16

Generates publication-quality scientific figures and multi-panel layouts compliant with major journal standards.

PyTorch Geometric (PyG)

16

Simplifies the development and training of Graph Neural Networks (GNNs) for deep learning on irregular and relational data structures.

PubMed Database Connector

16

Facilitates direct access to PubMed literature and the NCBI E-utilities API for advanced biomedical research and data extraction.

Prompt Engineering Patterns

16

Implements advanced prompting strategies like Chain-of-Thought and few-shot learning to optimize LLM performance and output reliability.

ClinVar Genomic Database

16

Queries and interprets NCBI ClinVar data to evaluate human genetic variants and their clinical significance.

Polars High-Performance Data Analysis

16

Optimizes data processing workflows using the high-performance Polars DataFrame library and expression API.

Scikit-learn Machine Learning Toolkit

16

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

Statsmodels Statistical Analysis

16

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

Seaborn Statistical Visualization

16

Generates publication-quality statistical graphics and complex multi-panel data visualizations using the Seaborn Python library.

Zarr Python

16

Manages large-scale N-dimensional arrays with chunking and compression for high-performance scientific computing and cloud storage.