seqgendiff: RNA-Seq Generation/Modification for Simulation

Generates/modifies RNA-seq data for use in simulations. We provide a suite of functions that will add a known amount of signal to a real RNA-seq dataset. The advantage of using this approach over simulating under a theoretical distribution is that common/annoying aspects of the data are more preserved, giving a more realistic evaluation of your method. The main functions are select_counts(), thin_diff(), thin_lib(), thin_gene(), thin_2group(), thin_all(), and effective_cor(). See Gerard (2020) <doi:10.1186/s12859-020-3450-9> for details on the implemented methods.

Package details

AuthorDavid Gerard [aut, cre] (<>)
MaintainerDavid Gerard <>
Package repositoryView on CRAN
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seqgendiff documentation built on July 8, 2020, 5:55 p.m.