title: rnaQUAST: a quality assessment tool for de novo transcriptome assemblies.
abstract: Ability to generate large RNA-Seq datasets created a demand for both de novo and reference-based transcriptome assemblers. However, while many transcriptome assemblers are now available, there is still no unified quality assessment tool for RNA-Seq assemblies. We present rnaQUAST-a tool for evaluating RNA-Seq assembly quality and benchmarking transcriptome assemblers using reference genome and gene database. rnaQUAST calculates various metrics that demonstrate completeness and correctness levels of the assembled transcripts, and outputs them in a user-friendly report.
  
  
  
  rnaQUAST is implemented in Python and is freely available at http://bioinf.spbau.ru/en/rnaquast
  
  
  
  ap@bioinf.spbau.ru
  
  
  
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia.
authors.forename: Elena
authors.initials: E
authors.lastname: Bushmanova
authors.affiliation: Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia.
authors.forename: Dmitry
authors.initials: D
authors.lastname: Antipov
authors.affiliation: Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia Algorithmic Biology Lab, St. Petersburg Academic University, St. Petersburg, Russia.
authors.forename: Alla
authors.initials: A
authors.lastname: Lapidus
authors.affiliation: Research and Development Department, EMC, St. Petersburg, Russia.
authors.forename: Vladimir
authors.initials: V
authors.lastname: Suvorov
authors.affiliation: Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia Algorithmic Biology Lab, St. Petersburg Academic University, St. Petersburg, Russia.
authors.forename: Andrey D
authors.initials: AD
authors.lastname: Prjibelski
mesh_terms: D019295:Computational Biology / Q000379:methods*; D017423:Sequence Analysis, RNA; D012984:Software; D059467:Transcriptome