M

anual





Browse

Users can get detailed information about each study which contains the gene count matrix, circRNA list, and experimental metadata. For studies with less than 100 cells, only the circRNA lists are provided. For studies with enough cells for cell clustering analysis, the marker genes of each cell cluster are provided, and cell types are annotated according to the metadata provided in the original study. Users can get the link to each study using the "Study" column on the provided table.



Search

Users can search the circRNAs by tissue, cell type, study accession number, and genomic coordinates. The “circRNA ID” column provides the link of circRNAs that are mutually reported in the circAtlas 2.0 database.



Analysis

The “Analysis” module provides additional analysis in time-series and disease-related studies. Here, cell clusters are annotated based on developmental stages and normal/tumor states, and the dynamic change of circRNAs between different stages or normal and tumor states are plotted.



Download

Users can download the experimental metadata of collected studies and the Seurat-based analysis pipeline utilized in this study. CircRNAs are identified using our CIRI2 & CIRIquant algorithm (https://sourceforge.net/projects/ciri) and integrated using the pipeline provided above. The list of identified circRNAs and the cell-type-specific circRNA signature matrix are also available for download on this page.

Contact
If you have any questions or comments regarding to circSC, you may contact us by sending an email to Wu Wanying (wuwanying@biols.ac.cn).