Engineered Peptide Barcodes for In-Depth Analyses of Binding Protein Ensembles
available for download in the 'Devel' version of Bioconductor using BiocManager::install("NestLink")
.
The package 'landing page' is available at https://bioconductor.org/packages/NestLink
(since 2019-01-14)
install R (>= 3.6)
install Bioconductor (>=3.9)
run an R session and execute the following R code snippet
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("cpanse/NestLink", version = "3.9")
or using docker
docker pull cpanse/nestlink \
&& docker run -a stdin -a stdout -i -t cpanse/nestlink /scratch/R-devel/bin/R
Typical install time - based on the Dockerfile the install snippet above took 19m46.464s on a linux server (RAID6, Intel(R) Xeon(R) CPU E5-2698 v3 @ 2.30GHz) and one hour on dockerhub.
As an alternative you can also consider the latest release.
|platform|NestLink version|platform version|R version|note| | :------- |:---------------|:---------------| :-------|:------- | |Linux | 0.99.51 | Debian 10 (buster) | R 3.5.1, Bioconductor version 3.8| CP | |Microsoft | 0.99.51 | Server 2012 R2 x64| R 3.5.0, Bioconductor version 3.7|| | macOS High| 0.99.51 | Sierra 10.13.4| R 3.4.2||
Instructions to run on data and expected output is described in the package's vignettes.
browseVignettes('NestLink')
please study the vignettes in the following order:
Expected run time for the vignette build is less than 5 minutes on a today's desktop computer.
read the vignettes.
browseVignettes('NestLink')
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