HeritSeq: Heritability of Gene Expression for Next-Generation Sequencing

Statistical framework to analyze heritability of gene expression based on next-generation sequencing data and simulating sequencing reads. Variance partition coefficients (VPC) are computed using linear mixed effects and generalized linear mixed effects models. Compound Poisson and negative binomial models are included. Reference: Rudra, Pratyaydipta, et al. "Model based heritability scores for high-throughput sequencing data." BMC bioinformatics 18.1 (2017): 143.

Version: 1.0.1
Depends: R (≥ 3.2.3)
Imports: cplm, DESeq2, lme4, pbapply, tweedie, MASS, SummarizedExperiment
Suggests: glmmADMB
Published: 2019-02-11
Author: W. Jenny Shi [aut, cre], Pamela Russell [aut], Pratyaydipta Rudra [aut, cre], Brian Vestal [aut, cre], Katerina Kechris [aut], Laura Saba [aut]
Maintainer: W. Jenny Shi <wjennyshi at gmail.com>
BugReports: https://github.com/KechrisLab/HeritSeq/issues
License: GPL-2
NeedsCompilation: no
CRAN checks: HeritSeq results

Downloads:

Reference manual: HeritSeq.pdf
Package source: HeritSeq_1.0.1.tar.gz
Windows binaries: r-devel: HeritSeq_1.0.1.zip, r-release: HeritSeq_1.0.1.zip, r-oldrel: HeritSeq_1.0.0.zip
OS X binaries: r-release: HeritSeq_1.0.1.tgz, r-oldrel: HeritSeq_1.0.1.tgz
Old sources: HeritSeq archive

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