title: Binning_refiner: improving genome bins through the combination of different binning programs.
abstract: CONCLUSIONS
  Microbial genomes have recently been reconstructed from metagenomic datasets using binning approaches. Inconsistent binning results are however often observed between different binning programs, likely due to the different algorithms or statistical models used. We present Binning_refiner, a pipeline that merges the results of different binning programs. Our results demonstrated that Binning_refiner can significantly reduce the contamination level of genome bins and increase the total size of contamination-free and 'good-quality' genome bins. Binning_refiner is thus an useful tool to improve the quality of genome bins derived from metagenomic data.
  
  
  METHODS
  Binning_refiner is implemented in Python3 and is freely available at: https://github.com/songweizhi/Binning_refiner .
  
  
  BACKGROUND
  songwz03@gmail.com or t.thomas@unsw.edu.au.
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: School of Biotechnology and Biomolecular Sciences, University of New South Wales, NSW, Australia.|Centre for Marine Bio-Innovation, University of New South Wales, NSW, Australia.
authors.forename: Wei-Zhi
authors.initials: WZ
authors.lastname: Song
authors.affiliation: Centre for Marine Bio-Innovation, University of New South Wales, NSW, Australia.
authors.forename: Torsten
authors.initials: T
authors.lastname: Thomas
mesh_terms: D000465:Algorithms; D064349:Genome, Microbial; D056186:Metagenomics / Q000379:methods*; D015233:Models, Statistical; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software