specL::ssrc
Methodssrc
(Sequence Specific Retention Calculator) is an implementation of the algorithm proposed in [1] to predict the Retention Time (RT) of a given peptide sequence.
load libraries
an basic example from the paper β¦
lapply(c("SCHTAVGR", "SCHTGLGR", "EDLIAYLK"), ssrc)
## [[1]]
## SCHTAVGR
## 3.20805
##
## [[2]]
## SCHTGLGR
## 5.95145
##
## [[3]]
## EDLIAYLK
## 29.60045
in the following paragraphs we will play with some R packages containing peptide sequence and RT information.
define a R-helper function which derives a linear model and visualize the result
.plot.rt_ssrc <- function(x, y, ...){
fit <- lm(y~x)
plot(x, y, ylab='ssrc predicted RT', xlab='RT',
cex=2,
asp=1,
...)
abline(fit)
abline(a=0, b=1, col='grey', lwd=2)
legend("topleft",
c(paste("spearman", round(cor(x, y, method='spearman'),2)),
paste('R-squared', round(summary(fit)$r.squared,2)))
)
}
library(msqc1)
## Loading required package: lattice
fetch the msqc1
msqc1.8rep.aggregate <- msqc1:::.reshape_rt(msqc1_8rep, peptides=peptides, plot=FALSE)
msqc1.dilution.aggregate <- msqc1:::.reshape_rt(msqc1_dil, peptides=peptides, plot=FALSE)
predict RT
msqc1.peptide.ssrc <- unlist(lapply(as.character(msqc1.dilution.aggregate$Peptide.Sequence), ssrc))
sessionInfo()
## R version 3.3.1 (2016-06-21)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Ubuntu 16.04.1 LTS
##
## locale:
## [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
## [3] LC_TIME=en_US.UTF-8 LC_COLLATE=C
## [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
## [7] LC_PAPER=en_US.UTF-8 LC_NAME=C
## [9] LC_ADDRESS=C LC_TELEPHONE=C
## [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] msqc1_1.1.7 lattice_0.20-34 specL_1.8.0 protViz_0.2.15
## [5] seqinr_3.3-3 RSQLite_1.0.0 DBI_0.5-1 BiocStyle_2.2.0
##
## loaded via a namespace (and not attached):
## [1] Rcpp_0.12.7 digest_0.6.10 assertthat_0.1 grid_3.3.1
## [5] formatR_1.4 magrittr_1.5 evaluate_0.10 stringi_1.1.2
## [9] rmarkdown_1.1 tools_3.3.1 ade4_1.7-4 stringr_1.1.0
## [13] yaml_2.1.13 htmltools_0.3.5 knitr_1.14 tibble_1.2
[1] O. V. Krokhin, R. Craig, V. Spicer, W. Ens, K. G. Standing, R. C. Beavis, and J. A. Wilkins, βAn improved model for prediction of retention times of tryptic peptides in ion pair reversed-phase HPLC: its application to protein peptide mapping by off-line HPLC-MALDI MS,β Mol. Cell Proteomics, vol. 3, no. 9, pp. 908β919, Sep 2004.