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The Ivy Glioblastoma Atlas Project (Ivy GAP) is a foundational resource for exploring the anatomic and genetic basis of glioblastoma at the cellular and molecular levels The Allen Cell Types Database provides multimodal single cell characterization data to enable data-driven approaches to cell types classification.
From the API, you can:
Download quantified ISH expression values by tumor feature
Query the ISH expression differential search services
Download RNA-Seq expression values
Query the RNA-Seq correlative and differential search serviceselectrophysiology data in Neurodata Without Border (NWB) format
Download computed electrophysiology features
Download images of cell morphology
Download morphological reconstructions in SWC format
Download computed morphology features
*Download neuronal models trained on this dataset *
This document provides a brief overview of the data, database organization and example queries. API database object names are in camel case. See the main API Documentation for more information on data models and query syntax.
The accompanying Allen Software Development Kit (SDK) provides python code for accessing electrophysiology data (NWB files) for all cells and morphological reconstructions (SWC files) for a subset of cells.
Experimental Overview And Metadata