Fluidigm is an R package that can analyze genotyping data from Fluidigm instruments. It can perform various operations such as:
Fluidigm provides a convenient interface to the powerful capabilities of the PLINK software, which is a free, open-source whole genome association analysis toolset. It also provides detailed output files and plots to help you explore and understand your genotypic data.
You can install Fluidigm from CRAN with (soon…):
install.packages("Fluidigm")
Or you can install the development version from GitHub with:
# install.packages("remotes")
remotes::install_github("fischuu/Fluidigm")
Please note, that you need to have Plink installed on your system and it needs to be available on the PATH variable.
On the Plink wegpage there are aleady precompiled binaries that can be downloaded, see here
Plink 1.9 : https://www.cog-genomics.org/plink/
Plink 1.07 : https://zzz.bwh.harvard.edu/plink/download.shtml
# Load the library
library("Fluidigm")
# Set the working directory
setwd("~/Project/My_fluidigm_project")
# Define the required files
file <- "Run.csv"
map <- "Run.map"
db <- "Run.ped"
neg_controls=c("STA-blank", "Chipblank")
# Define y and x markers
y.marker <- "markerY1"
x.marker <- c("markerX1",
"markerX2",
"markerX3",
"markerX4",
"markerX5",
"markerX6",
"markerX7",
"markerX8",
"markerX9")
# Run the analysis
out <- fluidigmAnalysisWrapper(file=file,
db=db,
map=map,
neg_controls=neg_controls,
y.marker = y.marker,
x.marker = x.marker)
# You can also run the individual steps
fluidigm2PLINK(...)
estimateErrors(...)
calculatePairwiseSimilarities(...)
getPairwiseSimilarityLoci(...)
similarityMatrix(...)
Fluidigm is licensed under the GPL-3 license. See the LICENSE file for more information.
If you use Fluidigm in your research, please cite it as follows:
citation("Fluidigm")
Contact If you have any questions, suggestions, or feedback, please feel free to contact me. I would love to hear from you and improve the package. 🙌
The package uses also a perl script that was written by Doug Scofield and which is published here:
https://github.com/douglasgscofield/bioinfo/blob/main/scripts/plink-pairwise-loci.pl