SMoLR is a software package to analyze single-molecule super resolution data in R.
R can be installed at: https://www.r-project.org/
We recommend the use of Rstudio to work with SMoLR: https://www.rstudio.com/products/rstudio/#Desktop
install.packages("devtools")
library(devtools)
source("https://bioconductor.org/biocLite.R")
biocLite("EBImage")
install_github("ErasmusOIC/SMoLR", build_vignettes = TRUE)
library(SMoLR)
Documentation of the different functions in the package can be found in R. Additionally a vignette is available explaining the main functions of SMoLR. The vignette can be found here: https://htmlpreview.github.io/?https://github.com/ErasmusOIC/SMoLR_data/blob/master/SMoLR.html
or within R, after installing SMoLR, run:
library(SMoLR)
vignette("SMoLR")
Testing plot functions:
library(SMoLR)
plot(SMOLR(smolrdata))
SMOLR_PLOT(smolrdata)
More example data to test the package can be found at the repository: https://github.com/ErasmusOIC/SMoLR_data
Loading example ThunderSTORM data:
library(SMoLR)
download.file("https://github.com/ErasmusOIC/SMoLR_data/raw/master/thunderstorm.zip","thunderstorm.zip")
unzip("thunderstorm.zip")
SMOLR_IMPORT(file.path(getwd(),"thunderstorm"),profile="thunderstorm")
SMOLR_LOAD(file.path(getwd(),"thunderstorm"),statistics=F)
head(localizations[[1]])
Bug reports, feature requests, or any other issues with the package can be reported at github.
If you use SMoLR please cite the paper describing SMoLR: Paul, M.W., Gruiter, H.M. De, Lin, Z., Baarends, W.M., Cappellen, W.A. Van, Houtsmuller, A.B., and Slotman, J.A. (2019). SMoLR : visualization and analysis of single- molecule localization microscopy data in R. BMC Bioinformatics 1–7. doi: https://doi.org/10.1186/s12859-018-2578-3
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