# gcapc: GC effects aware peak caller
ChIP-seq has been widely utilized as the standard technology to detect
protein binding regions, where peak calling algorithms were developed
particularly to serve the analysis. Existing peak callers lack of power
on ranking peaks' significance due to sequencing technology might undergo
sequence context biases, *e.g.* GC bias. *gcapc* is designed to address
this deficiency by modeling GC effects into peak calling.
*gcapc* is an R/Bioconductor package, which can be installed with source
code documented in [GitHub](https://github.com/tengmx/gcapc) or simply
If GitHub source installation is selected, make sure dependency
R packages are pre-installed as shown in the
Then, install *gcapc* with following code.
Alternatively, installation through Bioconductor is as simple as follows.
if (!requireNamespace("BiocManager", quietly=TRUE))
### Using *gcapc*
First, load the package into R.
Then, follow the steps introduced in the package
to estimate GC-bias or peak calling.
You are very welcome to leave any questions/bug messages at