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Search Tools for Larger scRNA-seq References


Focus Portals

Project Goal

To develop algorithms and software implementations that will allow for fast queries of large collections of RNA-seq datasets.


Results & Resources

The Hemberg Lab developed scfind and scover to develop efficient computational tools to facilitate access and exploration of large and complex single-cell datasets. Scfind is a search engine that makes insights from single-cell data more easily discoverable, while scover works to identify the most important regulatory elements for a given dataset.


Investigators

Lead Investigator

Martin Hemberg
Martin Hemberg