Cell population identification software tools | Flow cytometry data analysis
Traditionally, the majority of flow cytometry experiments have been analyzed visually, either by serial manual inspection of one or two dimensions at a time (a process termed “gating”, with boundaries or “gates” defining cell populations of interest). However, these visual approaches are labor intensive and highly subjective, and they neglect information present in the data that are not visible to the human eye, thus representing a major obstacle to the automation and reproducibility of research.
A data management system for flow cytometry data analysis. flowCore allows to handle flow cytometry high content screening data and encourages open development of tools for their coherent analysis. A key component of this package is having suitable data structures that support the application of similar operations to a collection of samples or a clinical cohort. Flowcore constitutes a shared and extensible research platform that enables collaboration between bioinformaticians, statisticians, biologists and clinicians.
Offers access to over 180 tools for the analysis of gene expression (RNA-seq and microarray), sequence variation and copy number, proteomic, flow cytometry, and network analysis. GenePattern is a genomic analysis platform that provides tools in the form of modules. Users can submit their data and choose suitable settings for performing complex analyses without detailed knowledge of the underlying programming language, algorithms and settings.
A flow cytometry data analysis software.. FlowJo contains a list of loaded samples (experimental data), statistics, gates, and other analyses, as well as tabular and graphical layouts. FlowJo provides features and tools for the creation of histogram and other plot overlays, cell cycle analysis, calcium flux analysis, proliferation analysis, quantitation, cluster identification and backgating display.
Enables flow and image cytometry data analysis. FCS Express RUO is able to analyze flow cytometry data, with flow cytometry tools, plots, and gates. The software allows export to Powerpoint, pdf, Excel, Word, and Microsoft office.
Advances the development of computational methods for the identification of cell populations of interest in FCM data. FlowCAP provides the means to objectively test and compare different methods. The project of this tool is to develop and implement evaluation strategies to judge the performance of computational methods developed for flow cytometry (FCM) data analysis.
Quantifies the similarity of cell populations across multiple flow cytometry samples using a nonparametric multivariate statistical test. flowMap is able to map cell populations of different size, shape, and proportion across multiple flow cytometry samples. The algorithm can be incorporate in any flow cytometry work flow that requires accurate quantification of similarity between cell populations.