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- Title
Sequence tube maps: making graph genomes intuitive to commuters.
- Authors
Beyer, Wolfgang; Novak, Adam M; Hickey, Glenn; Chan, Jeffrey; Tan, Vanessa; Paten, Benedict; Zerbino, Daniel R
- Abstract
Motivation Compared to traditional haploid reference genomes, graph genomes are an efficient and compact data structure for storing multiple genomic sequences, for storing polymorphisms or for mapping sequencing reads with greater sensitivity. Further, graphs are well-studied computer science objects that can be efficiently analyzed. However, their adoption in genomic research is slow, in part because of the cognitive difficulty in interpreting graphs. Results We present an intuitive graphical representation for graph genomes that re-uses well-honed techniques developed to display public transport networks, and demonstrate it as a web tool. Availability and implementation Code: https://github.com/vgteam/sequenceTubeMap. Demonstration https://vgteam.github.io/sequenceTubeMap/. Supplementary information Supplementary data are available at Bioinformatics online.
- Subjects
REPRESENTATIONS of graphs; DATA structures; TUBES; COMPUTER science
- Publication
Bioinformatics, 2019, Vol 35, Issue 24, p5318
- ISSN
1367-4803
- Publication type
Article
- DOI
10.1093/bioinformatics/btz597