tengmx/gcapc: GC Aware Peak Caller
Peak calling for ChIP-seq data with consideration of potential GC bias in sequencing reads. GC bias is first estimated with generalized linear mixture models using effective GC strategy, then applied into peak significance estimation.
Getting started
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Package details |
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| Author | Mingxiang Teng and Rafael A. Irizarry |
| Bioconductor views | BatchEffect ChIPSeq PeakDetection Sequencing |
| Maintainer | Mingxiang Teng <tengmx@gmail.com> |
| License | GPL-3 |
| Version | 1.3.0 |
| URL | https://github.com/tengmx/gcapc |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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