emilygoren/BinQuasi: Analyzing Replicated ChIP Sequencing Data Using Quasi-Likelihood
Version 0.1-2

Identify peaks in ChIP-seq data with biological replicates using a one-sided quasi-likelihood ratio test in quasi-Poisson or quasi-negative binomial models (Goren, Liu, Wang and Wang; to be submitted).

Getting started

Package details

AuthorEmily Goren [aut, cre], Steve Lund [aut] (The author of the QuasiSeq package, from which all functions were modified to produce this package.), Long Qu [aut], (The author of the QuasiSeq package, from which all functions were modified to produce this package.), Ian Marschner [aut] (The author of glm2::glm.fit2, which was modified slightly leading to glm.fit3 in this package.), Daniel Gerhard [aut] (The author of mcprofile::orglm.fit, which was modified slightly and used under the same name in this package.), R Core Team [aut] (The author of stats::glm.fit, which was modified slightly leading to glm.fit3 in this package.)
MaintainerEmily Goren <[email protected]>
LicenseGPL (>= 2)
Version0.1-2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("emilygoren/BinQuasi")
emilygoren/BinQuasi documentation built on Sept. 27, 2017, 3:35 a.m.