geneXtendeR optimizes the functional annotation of ChIP-seq peaks by exploring relative differences in annotating ChIP-seq peak sets to variable-length gene bodies. In contrast to prior techniques, geneXtendeR considers peak annotations beyond just the closest gene, allowing users to see peak summary statistics for the first-closest gene, second-closest gene, ..., n-closest gene whilst ranking the output according to biologically relevant events and iteratively comparing the fidelity of peak-to-gene overlap across a user-defined range of upstream and downstream extensions on the original boundaries of each gene's coordinates. Since different ChIP-seq peak callers produce different differentially enriched peaks with a large variance in peak length distribution and total peak count, annotating peak lists with their nearest genes can often be a noisy process. As such, the goal of geneXtendeR is to robustly link differentially enriched peaks with their respective genes, thereby aiding experimental follow-up and validation in designing primers for a set of prospective gene candidates during qPCR.
|Author||Bohdan Khomtchouk [aut, cre], William Koehler [aut]|
|Bioconductor views||Annotation ChIPSeq ChipOnChip Coverage DataImport DifferentialPeakCalling GO Genetics GenomeAnnotation HistoneModification NaturalLanguageProcessing PeakDetection Software Visualization|
|Maintainer||Bohdan Khomtchouk <firstname.lastname@example.org>|
|License||GPL (>= 3)|
|Package repository||View on Bioconductor|
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