The raw bulk RNAseq data has been processed and harmonized to create a harmonized database of gene expression data. The platformed data is summarized below as Upstream, Downstream and Cohort analysis summaries below. Additional explanation for the analysis pipeline employed for processing the platformed data can be found at the ASAP-CRN pmdbs-bulk-rnaseq-wf github repo. Datasets Included in Collection: ○ team-hardy-pmdbs-bulk-rnaseq ○ team-lee-pmdbs-bulk-rnaseq-mfg ○ team-wood-pmdbs-bulk-rnaseq ○ cohort-pmdbs-bulk-rnaseq ASAP Teams: Team Lee, Team Hardy, Team Wood Dataset Name: cohort-pmdbs-bulk-rnaseq, v1.2.1 Dataset DOI: https://doi.org/10.5281/zenodo.14373343 Contributors: See CRN Cloud Authorship List for the DOIs containing authorship details. Sample Summary: Data Curation Strategy: The curated data can be categorized as “upstream” and “downstream”, and “cohort analysis”. They are further segregated by mode: “mapping mode” and “alignment mode”. Upstream. The bulk RNAseq pipeline begins with QC and trimming of raw FASTQ files to ensure high-quality input for downstream processing. Following these steps, users can select one or both of the available processing modes:...
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Human post-mortem derived brain - bulk RNA-seq collection is published on ASAP CRN Cloud.