iSeq: Bayesian Hierarchical Modeling of ChIP-seq Data Through Hidden Ising Models

This package uses Bayesian hidden Ising models to identify IP-enriched genomic regions from ChIP-seq data. It can be used to analyze ChIP-seq data with and without controls and replicates.

Author
Qianxing Mo
Date of publication
None
Maintainer
Qianxing Mo <qmo@bcm.edu>
License
GPL (>= 2)
Version
1.26.0

View on Bioconductor

Man pages

iSeq1
Bayesian modeling of ChIP-seq data through hidden Ising...
iSeq2
Bayesian hierarchical modeling of ChIP-seq data through...
mergetag
Aggregate sequence tags into dynamic genomic windows/bins and...
nrsf
nrsf data
peakreg
Call and merge enriched genomic windows/bins.
plotreg
A function used to plot enriched genomic regions

Files in this package

iSeq/DESCRIPTION
iSeq/NAMESPACE
iSeq/NEWS
iSeq/R
iSeq/R/iSeq.R
iSeq/build
iSeq/build/vignette.rds
iSeq/data
iSeq/data/nrsf.RData
iSeq/demo
iSeq/demo/00Index
iSeq/demo/iSeqdemo.R
iSeq/inst
iSeq/inst/doc
iSeq/inst/doc/iSeq.R
iSeq/inst/doc/iSeq.Rnw
iSeq/inst/doc/iSeq.pdf
iSeq/man
iSeq/man/iSeq1.Rd
iSeq/man/iSeq2.Rd
iSeq/man/mergetag.Rd
iSeq/man/nrsf.Rd
iSeq/man/peakreg.Rd
iSeq/man/plotreg.Rd
iSeq/src
iSeq/src/iSeq.c
iSeq/vignettes
iSeq/vignettes/iSeq.Rnw