MetaScope is a complete R-based 16S, metagenomic, and metatranscriptomic profiling package that can accurately identify the composition of microbes at a strain-level resolution within a sample. MetaScope can be considered as an updated and expanded R translation of PathoScope 2.0, a Python-based metagenomic profiling package also created by the Johnson lab.
A few improvements made in MetaScope over PathoScope include using the BAM file format instead of the SAM file format for significantly less disk space usage, removing all dependencies to NCBI’s now defunct GI sequence annotations, and properly filtering reads that align to filter reference genomes. Functions to analyze host microbiome data are also planned to be added in future updates to the package.
Documentation and tutorials for MetaScope are available at our website.
MetaScope requires R Version 4.3.
Install the development version of the package from Github:
if (!requireNamespace("devtools", quietly=TRUE))
install.packages("devtools")
devtools::install_github("wejlab/MetaScope")
Install the release version of the package from Bioconductor:
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("MetaScope")
A prebuilt Docker image of MetaScope is available, which comes with the 16S reference database and accession mappings preinstalled. You can pull it directly from Docker Hub:
docker pull seanlu96/metascope_16s:latest
This container provides a ready-to-use environment for running MetaScope without additional setup.