Witch-ng: efficient and accurate alignment of datasets with sequence length heterogeneity

HIGHLIGHTS

  • who: Bioinformatics Advances and collaborators from the Department of Computer Science, University of Illinois Urbana-Champaign, Champaign, IL, USA have published the research: WITCH-NG: efficient and accurate alignment of datasets with sequence length heterogeneity, in the Journal: (JOURNAL)
  • what: The authors show how the authors can speed up WITCH. In Experiment 1, the authors compare WITCH, WITCH-NG and UPP on both simulated and biological nucleotide datasets where the authors have reference alignments on the entire set of sequences. The authors evaluate the rates across the entire alignment (not just restricted on the query . . .

     

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