Robust normalization and difference calling procedures for ChIP-seq and alike data. Read counts are modeled jointly as a binomial mixture model with a user-specified number of components. A fitted background estimate accounts for the effect of enrichment in certain regions and, therefore, represents an appropriate null hypothesis. This robust background is used to identify significantly enriched or depleted regions.
|Author||Johannes Helmuth [aut, cre], Ho-Ryun Chung [aut]|
|Date of publication||None|
|Maintainer||Johannes Helmuth <email@example.com>|
normR: Enrichment, Difference and Regime Calling in ChIP-seq data.
NormRCountConfig-class: Container for configuration of read counting with bamsignals...
normR-diffR: Difference Calling between conditional ChIP-seq data in normR...
normR-enrichR: Enrichment Calling on ChIP-seq data in normR with enrichR
NormRFit-class: Container for a fit done with normR
normR-regimeR: Regime Enrichment Calling for ChIP-seq data in normR with...