parse fcs files in s3 and store various metadata in dynamodb
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Updated
Jun 28, 2018 - Python
parse fcs files in s3 and store various metadata in dynamodb
Plots the MDS (Multi-dimensional scaling) of 3 or more FCS files.
Very fast method to read number of events from some / all FCS files in a directory
R Script to plot the average event rate in flow or mass cytometry (FCS) files
Opens two or more FCS files and creates new files that contain only the Channels common to all.
Plots the NRS (non-redundancy score) of selected markers from one or more FCS files
batch-titration is a container that allows for one or more fcs files to be automatically processed (using AWS Batch or other runners). It produces an html document.
PICAFlow: a complete R workflow dedicated to flow/mass cytometry data, from data pre-processing to deep and comprehensive analysis.
A collection of visualization examples for Flow Cytometry Data
Fast auto-cleanup of CyTOF data
Django-based Repository for Flow Cytometry Data
R package to cluster single-cell data and generate features that can be used for model building
R package for analysis of single-cell data using graphs
R package for interactive visualization and analysis of single-cell data
FlowUtils is a Python package containing various utility functions related to flow cytometry analysis, primarily focused on compensation and transformation tasks commonly used within the flow community.
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