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.

Article

Single-cell somatic copy number variants in brain using different amplification methods and reference genomes

This study demonstrates that the authors’ semi-automated protocol is suitable for shotgun metagenomic analysis, by significantly producing higher DNA fragment sizes while allowing for improved sample treatment logistics with reduced technical variability and without compromising the structure of the oral microbiome.

Article

Detection of mosaic and population-level structural variants with Sniffles2

Published: The authors developed Sniffles2, a faster and more accurate method to analyze long-ready structural variation calling. This method also solves the problem of family to population-level SV calling to produce fully genotyped VCF files. View original preprint.

Article

Multiple genome alignment in the telomere-to-telomere assembly era

Published: This review provides an overview of the algorithmic template that most multiple genome alignment methods follow. We also discuss prospective areas of improvement of multiple genome alignment for keeping up with continuously arriving high-quality T2T assembled genomes and for unlocking clinically-relevant insights.
 

Article

More of less: novel multi-ome profiling of single human neurons

Review: Epigenetic modifications to DNA and chromatin interact to influence gene expression and cellular phenotypes, but defining these omics layers in complex tissues is a daunting task. In this issue of Cell Genomics, Luo et al. describe a novel single-cell multi-omic method, simultaneously profiling transcriptome, DNA methylome, and chromatin accessibility, to shed light on human neurons.

 

Article

HyDrop: droplet-based scATAC-seq and scRNA-seq using dissolvable hydrogel beads. Article

Published: The data available in this repository can be used to replicate all the figures in the authors’ manuscript using their data analysis tutorial available here: https://github.com/aertslab/hydrop_data_analysis.
View original preprint.

Article

Nova-ST: Nano-patterned ultra-dense platform for spatial transcriptomics

Existing spatial transcriptomics techniques are either limited by capture array density or are cost-prohibitive for large-scale atlasing. Nova-ST, a dense nano-patterned spatial transcriptomics technique derived from randomly barcoded Illumina sequencing flow cells enables customized, low-cost, flexible, and high-resolution spatial profiling of large tissue sections.

Article

Response to: “Is Gauchian genotyping of GBA1 variants reliable?”

Preprint: To understand the cause of these discrepancies, the team reviewed their data, and concluded that they are misinterpreting Gauchian results in 8 of the 11 discrepant samples, and incorrectly using Gauchian to analyze low-coverage 1kGP samples.

Article

Methods and applications for single-cell and spatial multi-omics

In this review, the authors highlight advances in the fast-developing field of single-cell and spatial multi-omics technologies (also known as multimodal omics approaches), and the computational strategies needed to integrate information across molecular layers.