Flow cytometry data analysis using Bioconductor - A typical work flow
نویسنده
چکیده
The advent of high throughput techniques has resulted in the generation of large flow cytometry (FCM) data sets. Along with the task of acquiring the data comes the task of storing, managing, quality control, data analysis and data summarization to a condensed form that can be interpreted by the researcher. Open source Bioconductor packages for analysis of flow cytometry data provides a unified framework for bioinformaticians to develop methods to analyze and interpret flow cytometry data. The packages relevant to flow cytometry include flowCore, flowViz, flowStats, flowQ, flowUtils, and flowClust.
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