Metagenomic binning with assembly graph embeddings

HIGHLIGHTS

  • who: Bioinformatics et al. from the Department of Computer Science, Aalborg University, Aalborg, Denmark and Center for Microbial Communities, Department of have published the research: Metagenomic binning with assembly graph embeddings, in the Journal: (JOURNAL)
  • what: The authors propose GraphMB which uses graph neural networks to incorporate the assembly graph into the binning process. VAMB (Nissen et_al, 2021) is a deep learning-based binner, which the authors compare with the approach . The authors focus the comparison between GraphMB and those two since MetaBAT2 obtained the best results on most datasets, and VAMB is Total size . . .

     

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