An explosion in production of single-cell expression data has triggered the need for a search engine. CellAtlasSearch uses GPU computing and Big Data mining techniques to address this need in a scalable manner. Users can query with one or multiple single-cell expression profiles to retrieve the top matches from a large database of the single cell and bulk expression profiles along with relevant meta-information.
Mirror Link http://cellatlassearch.iiitd.edu.in:8097/cellatlassearch/
Divyanshu Srivastava, Arvind Iyer, Vibhor Kumar, Debarka Sengupta; CellAtlasSearch: a scalable search engine for single cells, Nucleic Acids Research,gky421,https://doi.org/10.1093/nar/gky421
Select Reference Database:
Reference Dataset | Sample Size |
---|---|
Single Cell | 251233 |
Bulk | 53536 |
Total 2044 Studies