canvasXpress - Visualization Package for CanvasXpress in R
Enables creation of visualizations using the CanvasXpress framework in R. CanvasXpress is a standalone JavaScript library for reproducible research with complete tracking of data and end-user modifications stored in a single PNG image that can be played back. See <https://www.canvasxpress.org> for more information.
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analyticsbioinformaticschartchartingdashdashboarddata-analyticsdata-sciencedata-visualizationgenomicsgraphsjavascriptnetworknetwork-visualizationpythonreproducible-researchshinyvisualization
11.82 score 312 stars 530 scripts 610 downloadsperiscope - Enterprise Streamlined 'Shiny' Application Framework
An enterprise-targeted scalable and UI-standardized 'shiny' framework including a variety of developer convenience functions with the goal of both streamlining robust application development while assisting with creating a consistent user experience regardless of application or developer.
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7.09 score 18 stars 86 scripts 241 downloadsDGEobj.utils - Differential Gene Expression (DGE) Analysis Utility Toolkit
Provides a function toolkit to facilitate reproducible RNA-Seq Differential Gene Expression (DGE) analysis (Law (2015) <doi:10.12688/f1000research.9005.3>). The tools include both analysis work-flow and utility functions: mapping/unit conversion, count normalization, accounting for unknown covariates, and more. This is a complement/cohort to the 'DGEobj' package that provides a flexible container to manage and annotate Differential Gene Expression analysis results.
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5.56 score 2 stars 1 dependents 61 scripts 404 downloadscanvasXpress.data - Datasets for the 'canvasXpress' Package
Contains the prepared data that is needed for the 'shiny' application examples in the 'canvasXpress' package. This package also includes datasets used for automated 'testthat' tests. Scotto L, Narayan G, Nandula SV, Arias-Pulido H et al. (2008) <doi:10.1002/gcc.20577>. Davis S, Meltzer PS (2007) <doi:10.1093/bioinformatics/btm254>.
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3.48 score 1 stars 3 scripts 248 downloads