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DESCRIPTION
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Package: ChIPseqSpikeInFree
Title: A Spike-in Free ChIP-Seq Normalization Approach for Detecting Global Changes in Histone Modifications
Version: 1.2.4
Date: 2020-08-31
Authors@R:
person(given = "Hongjian",
family = "Jin",
role = c("aut", "cre"),
email = "[email protected]")
Description:The detection of global histone modification changes can be addressed using exogenous reference Spike-in controls. However, many ChIP-seq data sets available in public depositories nowadays were done without including Spike-in procedure. In order to do quantitative comparisons between these data, researchers have to regenerate whole data set using spike-in ChIP-seq protocols – this is an infeasible solution sometime. A basic scaling factor calculation for these scenarios remains a challenge. We present ChIPseqSpikeInFree , a novel ChIP-seq normalization method to effectively determine scaling factors for samples across different conditions or treatments, which doesn't rely on exogenous spike-in chromatin or peak detection to reveal global changes in histone modification occupancy. It can reveal similar magnitude of global changes compared to spike-In method.
Depends:
GenomicAlignments,
GenomicRanges,
IRanges,
R (>= 3.5.0),
Rsamtools
License: GPL-3
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 6.1.1