Raw bulk RNAseq data from in vitro datasets have been uniformly processed to create a harmonized collection of gene expression data. An overview of this process is provided below, while additional information can be found at the ASAP-CRN 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 ○ team-jakobsson-pmdbs-bulk-rnaseq ASAP Teams: Team Lee, Team Hardy, Team Wood, Team Jakobsson Dataset Name: cohort-pmdbs-bulk-rnaseq, v1.2.2 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: alignment mode and/or mapping mode. In alignment mode, the trimmed FASTQ files are aligned...
Access requires approval by the data custodian. The collection's description and structure are public; querying the data requires an approved request.
Human post-mortem derived brain - bulk RNA-seq collection is published on ASAP CRN Cloud.