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Benchmark of software tools for prokaryotic chromosomal interaction domain identification

Mikhail D Magnitov, Veronika S Kuznetsova, Sergey V Ulianov, Sergey V Razin, Alexander V Tyakht. Benchmark of software tools for prokaryotic chromosomal interaction domain identification. Bioinformatics (2020)

Datasets used:

  • Caulobacter crescentus (Le et al., Science, 2013)
  • Bacillus subtilis (Wang et al., Genes Dev., 2015; Marbouty et al., Mol. Cell, 2015)
  • Escherichia coli (Lioy et al., Cell, 2018)
  • Mycoplasma pneumoniae (Trussart et al., Nat. Comm., 2017)
  • Sulfolobus acidocaldarius (Takemata et al., Cell, 2019)

Compared domain-calling tools:

  • Armatus (Filippova et al., Algorithms Mol Biol., 2014)
  • Arrowhead (Durand et al., Cell Systems, 2016)
  • CaTCH (Zhan et al., Genome Res., 2017)
  • CHDF (Wang et al., Quant Biol, 2015)
  • chromoR (Shavit and Lio, Mol. Biosyst., 2014)
  • Chromosight (Matthey-Doret et al., bioRxiv, 2020)
  • ClusterTAD (Oluwadare and Cheng, BMC Bioinformatics, 2017)
  • deDoc (Li et al., Nat. Comm., 2018)
  • Directionality Index (Dixon et al., Nature, 2012; Le et al., Science, 2013)
  • EAST (Roayaei Ardakany and Lonardi, 17th International Workshop on Algorithms in Bioinformatics, 2017)
  • GMAP (Yu et al., Nat. Comm., 2017)
  • HiCExplorer (Ramirez et al., Nat. Comm., 2018)
  • HiCseg (Levy-Leduc et al., Bioinformatics, 2014)
  • IC-Finder (Haddad et al., Nucleic Acids Res., 2017)
  • Insulation Score (Crane et al., Nature, 2015)
  • Lavaburst
  • MrTADFinder (Yan et al., PLoS Comput. Biol., 2017)
  • OnTAD (An et al., Genome Biol., 2019)
  • spectral (Chen et al., Bioinformatics, 2016)
  • SpectralTAD (Cresswell et al., bioRxiv, 2019)
  • TADbit (Serra et al., PLoS Comput. Biol., 2017)
  • TADpole (Soler-Villa et al., Nucleic Acids Res., 2020)
  • TADtool (Kruse et al., Bioinformatics, 2016)
  • TADtree (Weinreb et al., Bioinformatics, 2015)
  • TopDom (Shin et al., Nucleic Acids Res., 2016)

Available code and data:

  • Hi-C and RNA-seq data processing pipelines
  • Scripts to run domain callers used for benchmarking
  • Annotated domain positions used in the analysis
  • Scripts to analyse and validate the annotated domains
  • Scripts to digest genomes and simulate Hi-C read pairs

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