Ribbon: intuitive visualization for complex genomic variation

Maria Nattestad, Robert Aboukhalil, Chen Shan Chin, Michael C. Schatz

Research output: Contribution to journalArticlepeer-review

Abstract

Ribbon is an alignment visualization tool that shows how alignments are positioned within both the reference and read contexts, giving an intuitive view that enables a better understanding of structural variants and the read evidence supporting them. Ribbon was born out of a need to curate complex structural variant calls and determine whether each was well supported by long-read evidence, and it uses the same intuitive visualization method to shed light on contig alignments from genome-to-genome comparisons.

Original languageEnglish (US)
Pages (from-to)413-415
Number of pages3
JournalBioinformatics
Volume37
Issue number3
DOIs
StatePublished - Feb 1 2021
Externally publishedYes

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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