From e5fed860864a15ad92d489c079940349d8f95197 Mon Sep 17 00:00:00 2001 From: TanerArslan Date: Wed, 27 Mar 2019 15:54:28 +0100 Subject: [PATCH] Version bumped 0.99.9 --- DESCRIPTION | 2 +- vignettes/SubCellBarCode.Rmd | 8 ++++---- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 5e229a2..dfe46c8 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Package: SubCellBarCode Type: Package Title: SubCellBarCode: Integrated workflow for robust mapping and visualizing whole human spatial proteome -Version: 0.99.8 +Version: 0.99.9 Author: Taner Arslan Maintainer: Taner Arslan Description: Mass-Spectrometry based spatial proteomics have enabled the proteome-wide mapping of protein subcellular localization (Orre et al. 2019, Molecular Cell). SubCellBarCode R package robustly classifies proteins into corresponding subcellular localization. diff --git a/vignettes/SubCellBarCode.Rmd b/vignettes/SubCellBarCode.Rmd index a142c4e..471af47 100644 --- a/vignettes/SubCellBarCode.Rmd +++ b/vignettes/SubCellBarCode.Rmd @@ -320,10 +320,10 @@ SubCellBarCode. It is in `data.frame` format; head(hcc827CtrlPSMCount) ``` -```{r plotbarcode, fig.width = 6, fig.height = 6} -plotBarcode(sampleClassification = cls.df, protein = "TP53", - s1PSM = hcc827CtrlPSMCount) -``` +#```{r plotbarcode, fig.width = 6, fig.height = 6} +#plotBarcode(sampleClassification = cls.df, protein = "TP53", +# s1PSM = hcc827CtrlPSMCount) +#``` ## Co-localization plot To evaluate localization and of multiple proteins at