Human in vitro - bulk RNA-seq collectionRaw 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-jakobsson-invitro-bulk-rnaseq-dopaminergic ○ team-jakobsson-invitro-bulk-rnaseq-microglia ASAP Teams: Team Jakobsson Dataset Name: cohort-invitro-bulk-rnaseq, v1.0.0 Dataset DOI: https://doi.org/10.5281/zenodo.20400939 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 to a reference genome using STAR, producing BAM files with...Access requires approval by the data custodian. The collection's description and structure are public; querying the data requires an approved request.Human in vitro - bulk RNA-seq collection is published on ASAP CRN Cloud.