A data-driven molecular map of the DLPFC reveals distinct spatial domains and cell populations, offering insights into neuropsychiatric disorders. The study provides a roadmap for implementing spatial clustering approaches in the human brain.
This protocol describes the Bioinformatic Prioritization of PD GWAS candidates for High Content Screening, and Hit Validation by allele-specific expression (ASE) analysis.
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.
