3. Data, Science & AI

Provides a hardware-agnostic framework for training quantum machine learning models, supporting variational algorithms and integration with PyTorch, JAX, and TensorFlow.

Queries NHGRI-EBI GWAS Catalog to retrieve SNP-trait associations, p-values, and summary statistics for genetic epidemiology and polygenic risk score analysis.

High-performance toolkit for genomic interval analysis, supporting BED files, coverage tracks, and ML tokenization in computational genomics.

Enables Bayesian inference, hierarchical modeling, and MCMC (NUTS) with PyMC for probabilistic programming and model comparison.

Generates evidence-based clinical decision support documents with statistical analysis, biomarker stratification, and regulatory compliance for pharmaceutical research.

Accesses AlphaFold's 200M+ AI-predicted protein structures via UniProt ID, with PDB/mmCIF downloads and confidence metric analysis for drug discovery research.

Performs UMAP dimensionality reduction for visualizing high-dimensional data in 2D/3D, enabling clustering and ML preprocessing.

Provides a framework for deploying pre-trained transformer models in NLP, computer vision, audio, and multimodal applications for tasks like generation and classification.

Queries NCBI Gene database via E-utilities API to retrieve gene information including RefSeqs, GO terms, locations, and phenotypes for annotation and functional analysis.

Provides simulation tools for open quantum systems, including master equations, Lindblad dynamics, and quantum optics, for physics research and educational purposes.

Queries ChEMBL database for bioactive molecules, enabling drug discovery research through compound searches, bioactivity data retrieval, and structure-activity relationship analysis.

Enables queryable, traceable, and reproducible biological data management with ontologies, workflow tracking, and MLOps integrations for scRNA-seq and other biological datasets.

Programmatic PDF manipulation toolkit for extracting text and tables, creating, merging, splitting, and filling PDFs.

Provides computational tools for materials science, including crystal structure analysis, phase diagrams, and Materials Project integration.

Queries PubChem database for chemical compounds using PUG-REST API, supporting name, CID, SMILES searches and property retrieval.

Generates publication-ready scientific diagrams with AI-driven refinement, specializing in neural networks, biological pathways, and complex visualizations.

Comprehensive platform for proteomics data analysis including feature detection, peptide identification, and protein quantification in mass spectrometry workflows.

Provides deep generative models for single-cell omics data analysis, including batch correction, transfer learning, and multi-modal integration.

Comprehensive Python toolkit for creating, analyzing, and visualizing complex networks and graphs, including centrality, clustering, and community detection algorithms.

Queries STRING API for protein-protein interactions, enabling network analysis and functional enrichment in systems biology research.

Comprehensive toolkit for molecular biology data processing, including sequence manipulation, file parsing, and programmatic database access.

Enables direct REST API access to PubMed for advanced Boolean/MeSH queries, batch processing, and citation management in scientific workflows.

Provides Python-based access to microscopy data management, enabling image retrieval, pixel analysis, ROI annotation, and batch processing for high-content screening.

Direct REST API access to KEGG database for academic research, enabling metabolic pathway analysis, gene mapping, and drug interaction exploration.