The raw scRNAseq data has been processed and harmonized to create a harmonized database of gene expression data. The platformed data is summarized below as Raw Data, Curated Data, and QC Summaries below. Code, explanations, and schematics for processing the platformed data can be found at the ASAP-CRN pmdbs-sc-rnaseq-wf github repo. Datasets Included in Collection: ○ team-hafler-pmdbs-sn-rnaseq-pfc ○ team-lee-pmdbs-sn-rnaseq ○ team-hardy-pmdbs-sn-rnaseq ○ team-scherzer-pmdbs-sn-rnaseq-mtg ○ team-jakobsson-pmdbs-sn-rnaseq ○ team-sulzer-pmdbs-sn-rnaseq ASAP Teams: Team Hafler, Team Lee, Team Jakobsson, Team Scherzer, Team Hardy, Team Sulzer Dataset Name: cohort-pmdbs-sc-rnaseq, v3.1.1 Dataset DOI: https://doi.org/10.5281/zenodo.14373047 Contributors: See CRN Cloud Authorship List for the DOIs containing authorship details. Visualize on ABC Atlas: Explore this data in the Allen Brain Cell (ABC) Atlas. Sample Summary: Data Curation Strategy: Curated data is the result of processing the raw dataset contributions by ASAP CRN Workflows. For the snRNAseq Datasets the curated data can be categorized as “preprocessed” and “processed”, and “integrated”. Preprocessed. Pre-processing refers...
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Human post-mortem derived brain - single-nucleus RNA-seq and polyA RNA-seq Collection is published on ASAP CRN Cloud.