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SPEAQeasy: a scalable pipeline for expression analysis and quantification for R/bioconductor-powered RNA-seq analyses.

Nicholas J EaglesEmily E BurkeJacob LeonardBrianna K BarryJoshua M StolzLouise HuukiBaDoi N PhanVioleta Larios SerratoEverardo Gutiérrez-MillánIsrael Aguilar-OrdoñezAndrew E JaffeLeonardo Collado-Torres
Published in: BMC bioinformatics (2021)
SPEAQeasy is user-friendly and lowers the computational-domain entry barrier for biologists and clinicians to RNA-seq data processing as the main input file is a table with sample names and their corresponding FASTQ files. The goal is to provide a flexible pipeline that is immediately usable by researchers, regardless of their technical background or computing environment.
Keyphrases
  • rna seq
  • single cell
  • electronic health record
  • palliative care
  • big data
  • machine learning
  • low cost
  • data analysis
  • solid state