andrewGhazi/malacoda: Bayesian Analysis of High-Throughput Genomic Assays

Bayesian analysis of high-throughput genomic assays, such as Massively Parallel Reporter Assays (MPRA) and clustered regularly interspaced short palindromic repeat (CRISPR) screens. The output counts, whether MPRA barcodes or CRISPR gRNAs, are modelled as coming from a negative binomial distribution with empirical gamma priors. The empirical priors can be refined through the use of user-input annotations, further improving model performance.

Getting started

Package details

Maintainer
LicenseGPL (>=3)
Version0.2.2
URL https://github.com/andrewGhazi/malacoda
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("andrewGhazi/malacoda")
andrewGhazi/malacoda documentation built on Aug. 2, 2020, 12:54 a.m.