Output Catalog
ASAP is committed to accelerating the pace of discovery and informing a path to a cure for Parkinson’s disease through collaboration, research-enabling resources, and data sharing. We’ve created this catalog to showcase the research outputs and tools developed by ASAP-funded programs.
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Output Type
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Program
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CRN Team Name
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Theme
Photometry Analysis Code
This set of functions extracts GCaMP Fiber Photometry data obtained with a TDT system, performs isosbestic and exponential correction, and computes the number and amplitude of transients over time. The code was originally used for the following…
Analytical Tool for spatial gene expression with 10x Visium Platform
An analytical tool to be used with the 10X Visium platform to compare spatial gene expression values.
Open Field Analysis
A Python script processes open field analysis data from an excel sheet to calculate average velocity,rotations, and distance moved. The output is stored in a 'Metrics' spreadsheet, cross-checked with manually computed metrics in another sheet.
TRAP In Vivo Analysis
GitHub Code and data from Ryan et al., 2024. Includes TRAP_InVivo_Analysis.m for Plexon MAP data analysis, TRAP_Remove_INs.m for removing putative interneurons, and Summary.mat containing behavior/electrophysiology data used for Figures 1 and S1.
TRAP-Rabies-Analysis
Study by Ryan et al., 2024 used mice injected with viruses to label neurons in the brain. Resource is GitHub code with Rabies_Analysis.m to analyze data to map neurons and Rabies_Summary.mat contains normalized data for figures 2 and S2.
ASAP CRN Cloud Release Notes – Version 4.0.0
ASAP CRN Cloud released version 4.0.0 with expanded datasets including Human Postmortem-derived Brain Sequencing and Mouse datasets. New harmonized collections and individual datasets were added, enhancing research possibilities.
ASAP Spatial Transcriptomics Code
Scripts for mouse spatial transcriptomics analysis
