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UQlust: combining profile hashing with linear-time ranking for efficient clustering and analysis of big macromolecular data.

Rafal AdamczakJaroslaw Meller
Published in: BMC bioinformatics (2016)
uQlust represents a drastic reduction in the computational complexity and memory requirements with respect to existing clustering and model quality assessment methods for macromolecular structure analysis, while yielding results on par with traditional approaches for both proteins and RNAs.
Keyphrases
  • big data
  • single cell
  • rna seq
  • electronic health record
  • working memory
  • deep learning