BugBuster: A novel automatic and reproducible workflow for metagenomic data analysis

Abstract

SummaryIn metagenomic sequencing, large volumes of data are obtained with all the genetic information present in a sample, allowing valuable data to be obtained about microbial communities. The software and processes necessary to obtain quality results have become increasingly complex and sophisticated, limiting the accessibility of biologists who try to use them. To facilitate the analysis of this data, a modular and reproducible workflow was developed using the Nextflow workflow orchestrator named BugBuster. The pipeline is easy to implement because all its dependencies are provided within containers, it is reproducible, modular and portable. BugBuster consists of different processes that allow data analysis at the level of reads, contigs and MAGs, also including modules for resistome characterization and taxonomic profiling. Availability and implementationBugBuster was written in Nextflow DSL2 Syntaxis. The program applications, user manual, exemplary data and code are freely available at https://github.com/gene2dis/BugBuster.