MatriCom: a scRNA-Seq data mining tool to infer ECM-ECM and cell-ECM communication systems

This work was supported in part by the National Human Genome Research Institute (NHGRI) of the National Institutes of Health and the National Institutes of Health Common Fund through the Office of Strategic Coordination/Office of the NIH Director [U01HG012680 to AN], the National Cancer Institute [R21CA261642 to AN], and by a start-up fund from the Department of Physiology and Biophysics of the University of Illinois Chicago to AN. This research is connected to the DigiHealth-project, a strategic profiling project at the University of Oulu [to VI] and the Infotech Institute [to VI and PBP]. The project is supported by the Academy of Finland [DECISION 326291 to VI], the Cancer Foundation Finland [to VI], the European Union CARES project [to VI], and the Finnish Cancer Institute, K. Albin Johansson Cancer Research Fellowship fund [to VI].

The web-based MatriCom is deployed as a Shiny Application and is available at: https://matrinet.shinyapps.io/matricom/. The MatriCom code package is available at: https://github.com/Izzilab/MatriCom. MatriComDB is available at: https://github.com/Izzilab/MatriCom/blob/main/inst/webApp/www/MatricomDB. Codes used for the analysis of open-access datasets are available at: https://github.com/Izzilab/MatriCom-analyses.