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URL: https://github.com/SGDDNB/ShinyCell
Proper Citation: ShinyCell (RRID:SCR_022756)
Description: Software R package to create interactive Shiny based web applications to visualise single cell data via visualising cell information and/or gene expression on reduced dimensions e.g. UMAP, visualising coexpression of two genes on reduced dimensions, visualising distribution of continuous cell information e.g. nUMI / module scores using violin plots / box plots, visualising composition of different clusters / groups of cells using proportion plots and visualising expression of multiple genes using bubbleplots / heatmap.Shiny Interactive Web Apps for Single-Cell Data.
Resource Type: data processing software, data visualization software, software application, software resource
Keywords: visualise single cell data, visualising cell information, gene expression on reduced dimensions, visualising coexpression of two genes on reduced dimensions, visualising distribution of continuous cell information
Availability: Free, Available for download, Freely available
Resource Name: ShinyCell
Resource ID: SCR_022756
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
