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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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LiD genetic determinants study under CPH regression models

Code to perform the study of LiD genetic determinants under CPH regression models and functional annotation analyses.

Program: Collaborative Research Network
Team:
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huw-morris-lab/PDD_GWSS

The manuscript by Real et al. investigates the relationship between LRP1B and APOE loci and the onset of Parkinson’s disease dementia, utilizing specific code for analysis.

Program: Collaborative Research Network
Team:
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Long-read RNA seq analysis using Talon

This is a pipeline that takes fastq data as input, generates fastq stats using nanostat, performs fastq processing and filtering using pychopper, maps the reads to the genome using minimap2, and uses talon to assemble and quantify transcripts.

Program: Collaborative Research Network
Team: and
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EMPD

Code used for manuscript: Genome-wide Analysis of Motor Progression in Parkinson Disease

Program: Collaborative Research Network
Team:
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Proband-NFL Analysis

Code used for the manuscript "Combining biomarkers for prognostic modelling of Parkinson’s disease" by Niro Viijaratnam and colleagues.

Program: Collaborative Research Network
Team:
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ggtranscript: an R package for the visualization and interpretation of transcript isoforms using ggplot2

ggtranscript simplifies visualizing transcript structure with new geoms like range(), intron(), junction(), and junction_label_repel(). It extends ggplot2's flexibility to create informative plots for publication.

Program: Collaborative Research Network
Team: and
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Code for splicing-accuracy-manuscript

Code used for manuscript: Splicing accuracy varies across human introns, tissues and age

Program: Collaborative Research Network
Team:
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katiekellyucl/W-PPI-NA-NSL-complex: v1.0.0. W-PPI-NA/NSL_complex

Software for in Silico analysis linking the NSL complex to Parkinson’s disease and the mitochondria (protein-protein interaction data to functional enrichment analysis)

Program: Collaborative Research Network
Team:
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Code for making forest plots for top GWAS loci

This repository contains the script used to create forest plots for top loci [part of code for the PD progression survival GWAS to mortality, Hoehn and Yahr stage 3 or greater (H&Y3+), and dementia].

Program: Collaborative Research Network
Team:
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RHReynolds/neurodegen-psych-local-corr: Code to determine local and global genetic correlations between several neurodegenerative and neuropsychiatric disorders with LAVA and LDSC, respectively.

Code for paper "Local genetic correlations exist among neurodegenerative and neuropsychiatric diseases" that explores local genetic correlations among neurodegenerative and neuropsychiatric diseases.

Program: Collaborative Research Network
Team:
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ensemblQueryR

A package allowing easy integration of Ensembl querying with a user’s R workflow.

Program: Collaborative Research Network
Team:
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LBD-case-case-GWAS

Code used in article: Investigation of the genetic aetiology of Lewy body diseases with and without dementia.

Program: Collaborative Research Network
Team:
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RNAseqProcessing

Comparison of RNA QC tools trimmomatic and fastp. Additionally, scripts provided for RNA-seq processing steps, covering QC, alignment, and quantification.

Program: Collaborative Research Network
Team: and
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egustavsson / GBA_GBAP1_manuscript

Code used to generate the plots used in manuscript, "The annotation of GBA1 has been concealed by its protein-coding pseudogene GBAP1" (DOI: 10.1126/sciadv.adk1296).

Program: Collaborative Research Network
Team: and
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manuelatan/PD-survival-GWAS: Release 2.0

Code used for PD progression survival GWAS to mortality, and Hoehn and Yahr stage 3 or greater (H&Y3+).

Program: Collaborative Research Network
Team:
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Aligning Science Across Parkinson's
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