# abseqR: reporting functions and downstream analysis of antibody libraries Rep-Seq
`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`](https://github.com/malhamdoosh/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
### System requirements
[pandoc](http://pandoc.org/installing.html) 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.
> Make sure `pandoc` is at least version 18.104.22.168
#### Install from Bioconductor
As soon as `abseqR` is available in the [Bioconductor](http://bioconductor.org/)
project, it can be installed from R console as follows:
#### Install from GitHub
To install the development version of `abseqR`
from GitHub, type the following commands in R Console:
## Quick start
Assuming `abseqPy` has completed an analysis and the output directory was
named `output`, a basic usage of `abseqR` is:
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.
<img src="man/figures/abseq_gif.gif" width=791 height=474>
Additional plots along with documentation can be found in `abseqR`'s main vignette.
In R console, type: