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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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huw-morris-lab/PDD_GWSS
Code used in the analysis from the manuscript Real et al., Association between the LRP1B and APOE loci and the development of Parkinson’s disease dementia (2022): https://doi.org/10.1101/2022.05.23.22275465
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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 the paper: Local genetic correlations exist among neurodegenerative and neuropsychiatric diseases: https://doi.org/10.1101/2022.05.30.22275781
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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].
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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).
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LBD-case-case-GWAS
Code used in the analysis from the manuscript Wu et al., Investigation of the genetic aetiology of Lewy body diseases with and without dementia (2023).
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ensemblQueryR
A package allowing easy integration of Ensembl querying with a user’s R workflow.
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Splicing-accuracy-manuscript
Code for the splicing-accuracy manuscript (pre-print DOI: doi.org/10.1101/2023.03.29.534370)
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Long-read RNA seq analysis using Talon
This is a snakemake pipeline that takes Oxford Nanopore Sequencing (ONT) data (fastq) 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. It is forked from ANNSeq. The link includes the dag of the pipeline.
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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.
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