Rami Al‐Ouran

CoRegNet constructs gene co-regulation networks from public RNA-Seq data using a beta-binomial model, outperforming existing methods and identifying non-linear and Simpson's paradox gene pairs.

The paper uses single-cell RNA-sequencing in Drosophila to show that tau pathology and aging affect different cell types, with tau primarily impacting excitatory neurons and glia.

The paper describes a virtual hackathon event that brought together early career scientists to develop tools for Parkinson's disease research using open science principles.

The paper identifies a latent factor in brain RNA-seq data that reflects cell type and clinical heterogeneity, improving the identification of biological pathways and biomarkers.

This study performs genome sequencing in Parkinson's disease patients and finds genetic variants in 3.4% for LRRK2 and 10.1% for GBA, with 82% of patients willing to share variants with relatives.

The paper aggregates and analyzes MeCP2 transcriptome data to identify a core set of perturbed genes and provides insights into MeCP2 function through a web portal.

This work evaluates CRISPR lineage recorders using TraceQC to analyze mutation speed and distribution across platforms.

This study identifies genetic associations with Parkinson disease motor subtypes using GWAS, finding novel variants and suggesting overlap with essential tremor genetics.

TraceQC provides quality control for CRISPR lineage tracing data to improve lineage tree reconstruction.

This study shows that Tau disrupts the spliceosome, leading to cryptic RNA splicing and neurodegeneration in Alzheimer’s disease.