https://github.com/stanstrup/PredRet
Revision 1bb69e723136c40d34e4bda027c7a56718f08c77 authored by Jan Stanstrup on 10 January 2017, 17:26:31 UTC, committed by Jan Stanstrup on 10 January 2017, 17:26:31 UTC
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Tip revision: 1bb69e723136c40d34e4bda027c7a56718f08c77 authored by Jan Stanstrup on 10 January 2017, 17:26:31 UTC
easier startup of app
easier startup of app
Tip revision: 1bb69e7
README.md
PredRet
==========
R package and shiny app (used for the website) for prediction of retention times.
## Installation
The shiny apps that runs on the PredRet.org server is in **retdb** and **retdb_admin**.
<br>
The R package to retrieve data from the database directly from R can be installed with:
```R
install.packages("devtools")
library(devtools)
source("https://bioconductor.org/biocLite.R")
biocLite("pcaMethods")
install_github("mongosoup/rmongodb")
install_github("stanstrup/Rplot.extra")
install_github("stanstrup/massageR")
install_github("stanstrup/PredRet",subdir = "PredRetR")
```
## Resources
The publication is available from http://dx.doi.org/10.1021/acs.analchem.5b02287.
Visit the website at http://predret.org to start predicting retention times!
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