rPanglaoDB
rPanglaoDB facilitates download and integration of uniformly processed single-cell RNA sequencing (scRNA-seq) data from the PanglaoDB database to increase sample sizes for characterization of rare molecular cell phenotypes.
Key Features:
- Data download: Provides functions to retrieve uniformly processed scRNA-seq datasets from PanglaoDB.
- Data integration: Merges scRNA-seq data from multiple studies into cohesive combined datasets for joint analysis.
- Uniform processing and annotation: Leverages PanglaoDB's uniformly processed and annotated records to maintain consistency across sources.
- Advanced visualization and analysis: Supports downstream visualization and analytical operations on merged datasets to explore cellular phenotypes.
Scientific Applications:
- Fibrocyte transcriptome characterization: Integration of multiple public datasets enabled compilation of an unbiased transcriptome profile for 157 fibrocytes, revealing dual inflammatory and tissue-remodeling properties similar to macrophages and fibroblasts and implicating pathways involved in prostaglandin biosynthesis and regulation related to healing.
Methodology:
Accesses PanglaoDB's uniformly processed scRNA-seq datasets (human and mouse) and provides functions to download and merge these datasets for meta-analysis.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- library, web application, workflow
- Programming Languages:
- R
- Added:
- 11/29/2021
- Last Updated:
- 11/29/2021
Operations
Publications
Osorio D, Kuijjer ML, Cai JJ. rPanglaoDB: an R package to download and merge labeled single-cell RNA-seq data from the PanglaoDB database. Bioinformatics. 2021;38(2):580-582. doi:10.1093/bioinformatics/btab549. PMID:34320637. PMCID:PMC8723139.
Funding: - Marie Sklodowska-Curie: 801133
- University of Oslo through the Centre for Molecular Medicine Norway (NCMM: 187615
Documentation
Links
Repository
https://github.com/dosorio/rPanglaoDBIssue tracker
https://github.com/dosorio/rPanglaoDB/issues