Simplified Fetching and Processing of Microarray and RNA-Seq Data

Wrapper around various existing tools and command-line interfaces, providing a standard interface, simple parallelization, and detailed logging. For microarray data, maps probe sets to standard gene IDs, building on 'GEOquery' Davis and Meltzer (2007) , 'ArrayExpress' Kauffmann et al. (2009) , Robust multi-array average 'RMA' Irizarry et al. (2003) , and 'BrainArray' Dai et al. (2005) . For RNA-seq data, fetches metadata and raw reads from National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA), performs standard adapter and quality trimming using 'TrimGalore' Krueger < https://github.com/FelixKrueger/TrimGalore>, performs quality control checks using 'FastQC' Andrews < https://github.com/s-andrews/FastQC>, quantifies transcript abundances using 'salmon' Patro et al. (2017) and potentially 'refgenie' Stolarczyk et al. (2020) , aggregates the results using 'MultiQC' Ewels et al. (2016) , maps transcripts to genes using 'biomaRt' Durinkck et al. (2009) , and summarizes transcript-level quantifications for gene-level analyses using 'tximport' Soneson et al. (2015) .