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Arboreto is a computational library for inferring gene regulatory networks (GRNs) from gene expression data using parallelized algorithms that scale from single machines to multi-node clusters.

Histolab is a Python library for processing whole slide images (WSI) in digital pathology. It automates tissue detection, extracts informative tiles from gigapixel images, and prepares datasets for deep learning pipelines. The library handles multiple WSI formats, implements sophisticated tissue segmentation, and provides flexible tile extraction strategies.

Structured approach to detecting, responding to, containing, and recovering from security incidents with comprehensive playbooks and automation.

Search across your personal Yuque knowledge bases using natural language, read relevant documents, and synthesize a clear answer with references.

Dask is a Python library for parallel and distributed computing that enables three critical capabilities:

PyOpenMS provides Python bindings to the OpenMS library for computational mass spectrometry, enabling analysis of proteomics and metabolomics data. Use for handling mass spectrometry file formats, processing spectral data, detecting features, identifying peptides/proteins, and performing quantitative analysis.

You MUST use this skill for ANY data persistence, database, axiom-storage, CloudKit, or serialization work.

Purpose: Guide robust, testable in-app purchase implementation StoreKit Version: StoreKit 2 iOS Version: iOS 15+ (iOS 18.4+ for latest features) Xcode: Xcode 13+ (Xcode 16+ recommended) Context: WWDC 2025-241, 2025-249, 2023-10013, 2021-10114

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Orchestrates a multi-step planning process: Research → Interview → Spec Synthesis → Plan → External Review → Sections