AbSeq
is a comprehensive bioinformatic pipeline for the analysis of sequencing datasets generated from antibody libraries and abseqR
is one of its packages.
abseqR
empowers the users of abseqPy
with plotting and reporting capabilities and allows them to generate interactive HTML reports for the convenience of viewing and sharing with other researchers. Additionally, abseqR
extends abseqPy
to compare multiple repertoire analyses and perform further downstream analysis on its output.
Note that abseqR
does not require abseqPy
to be installed to work but the output of abseqPy
must be already present to invoke abseqR
's functions.
AbSeq is developed by JiaHong Fong and Monther Alhamdoosh
For comments and suggestions, email jiahfong <at> gmail <dot> com
pandoc is highly recommended. If abseqR
fails to detect pandoc
in your system's PATH
variable, it will not be able to generate a collated HTML report yet you can still access individual plots.
Install from BioconductorMake sure
pandoc
is at least version 1.19.2.1
As soon as abseqR
is available in the Bioconductor project, it can be installed from R console as follows:
if (!require("BiocManager")) install.packages("BiocManager") BiocManager::install("abseqR")
To install the development version of abseqR
from GitHub, type the following commands in R Console:
if (!require("BiocManager")) install.packages("BiocManager") BiocManager::install("malhamdoosh/abseqR")
Assuming abseqPy
has completed an analysis and the output directory was named output
, a basic usage of abseqR
is:
library(abseqR) abseqReport("/path/to/output")
This will generate an interctive report of the analysis results. Please refer to the package's main vignette for more advanced use cases.
abseqR
generates numerous plots for the quality control analysis of antibody libraries and collates the results into an interactive HTML report.
Additional plots along with documentation can be found in abseqR
's main vignette.
In R console, type:
browseVignettes("abseqR")
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