This package automatically gates and quantifies flow cytometry or microscopy data captured from live cells barcoded with FRAME-tags (FTs) using openCyto pipeline.
Download and install R v3.3.3 or greater at https://cloud.r-project.org/
Open R
Paste and execute the following commands to install required packages from bioconductor (update packages if necessary)
source("https://bioconductor.org/biocLite.R")
biocLite(c("openCyto"
, "ggcyto"
, "devtools"
, "flowWorkspace"
, "flowCore"
, "flowClust"
, "ncdfFlow"))
library("devtools")
install_github("jmiguelj/FRAMEtags")
library("FRAMEtags")
(You can download sample data zip file with required input folder/files here: https://github.com/jmiguelj/FT-data/raw/master/FT%20data.zip)
In general, you need to prepare a folder on your computer containing the following files:
.fcs files to be analyzed
"Tag-Strain.csv"
"Tube-Treatment.csv"
Into the R command line paste and execute the following command:
getFRAMEtagData()
then follow onscreen directions.
In main input folder you should see:
"gating_template.csv""
"files-analyzed_log.csv"
"output" folder containing:
i. "counts.csv"; final event counts for each FT and total parent population "nonMaxF"
ii. "FT-gate.png"; visual overview of final FT gates for each .fcs + use this to determine any potential anomalous gating
iii. "full-stats.csv"; event counts for every gate leading to and including the final FT gates
iv. "percent.csv"; relative population fractions of each FT
Leading number indicates processing round as listed in the log file. Output folder will also include detailed gating plots if user chooses to output them.
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