Data Science & ML Habilidades de Claude

Pymatgen Materials Science

Enables advanced materials science research through crystal structure manipulation, thermodynamic analysis, and Materials Project database integration.

DNAnexus Integration

Streamlines biomedical data management and genomics workflow automation on the DNAnexus cloud platform.

DeepChem Molecular Machine Learning

Applies advanced machine learning techniques to chemistry, biology, and materials science for molecular property prediction and drug discovery.

BRENDA Enzyme Database

Accesses the world's most comprehensive enzyme database to retrieve kinetic parameters, reaction equations, and biochemical property data.

ZINC Database Search

Accesses over 230 million purchasable chemical compounds for virtual screening, drug discovery, and molecular docking studies.

Ensembl Genome Database Integration

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

UMAP Machine Learning

Performs fast non-linear dimensionality reduction and manifold learning for data visualization and clustering preprocessing.

RCSB PDB Database Access

Enables programmatic access to the RCSB Protein Data Bank for searching, retrieving, and analyzing 3D structures of biological macromolecules.

UniProt Protein Database

Accesses the UniProt REST API to search, retrieve, and map protein sequence and functional data directly within scientific workflows.

OMERO Microscopy Integration

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

Scientific Hypothesis Generation

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

PennyLane Quantum Computing

Develops and optimizes quantum circuits, hybrid quantum-classical models, and molecular simulations using the PennyLane library.

LatchBio Bioinformatics Workflows

Builds and deploys serverless bioinformatics pipelines using the Latch SDK and cloud infrastructure.

CELLxGENE Census Analysis

Accesses and analyzes over 61 million standardized single-cell genomics records from the CZ CELLxGENE Census.

Arboreto GRN Inference

Infers gene regulatory networks from transcriptomics data using high-performance algorithms like GRNBoost2 and GENIE3.

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.

HMDB Scientific Database Access

Accesses the Human Metabolome Database (HMDB) to retrieve comprehensive data on small molecule metabolites, clinical biomarkers, and biochemical pathways.

BioServices Bioinformatics Tool

Streamlines access to over 40 bioinformatics web services and databases for biological data retrieval and cross-database analysis.

STRING Protein Interaction Database

Analyzes protein-protein interaction networks and performs functional enrichment using the STRING database's 20 billion interactions.

PubChem Database

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

NCBI GEO Data Access

Accesses and manages NCBI Gene Expression Omnibus (GEO) data for transcriptomics and functional genomics research.

Biopython Molecular Biology

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

PyDESeq2 Analysis

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

DiffDock Molecular Docking

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

Polars Data Analysis

Optimizes data processing workflows with high-performance Polars expressions, lazy evaluation, and efficient DataFrame manipulations.

Medicinal Chemistry Toolkit

Applies medicinal chemistry rules and structural filters to prioritize drug-like compounds in molecular discovery workflows.

Zarr Python Scientific Data

Manages large-scale N-dimensional arrays with chunked storage, compression, and cloud-native parallel I/O.

Dask Parallel Computing

Enables parallel and distributed computing in Python to scale data processing beyond memory limits.

Datamol Cheminformatics

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

COBRApy Metabolic Modeling

Performs constraint-based reconstruction and analysis of metabolic models for systems biology and metabolic engineering tasks.