Meshclust v3.0: high-quality clustering of dna sequences using the mean shift algorithm and alignment-free identity scores

HIGHLIGHTS

• who: Hani Z. Girgis from the Bioinformatics Toolsmith Laboratory, Department of Electrical Engineering and Computer Science, Texas AandM University-Kingsville, Kingsville, TX, USA have published the research work: MeShClust v3.0: high-quality clustering of DNA sequences using the mean shift algorithm and alignment-free identity scores, in the Journal: Microbiome
• what: The authors propose a new adaptation of the mean shift algorithm that is closer to the orthodox algorithm than the earlier adaptation. The authors propose a new out-of-core learning strategy, in which the learning algorithm is trained on separate batches of . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.