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Sequence tube maps: making graph genomes intuitive to commuters.

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.

SUBMITTER: Beyer W

PROVIDER: S-EPMC6954646 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Sequence tube maps: making graph genomes intuitive to commuters.

Beyer Wolfgang W Novak Adam M AM Hickey Glenn G Chan Jeffrey J Tan Vanessa V Paten Benedict B Zerbino Daniel R DR

Bioinformatics (Oxford, England) 20191201 24

<h4>Motivation</h4>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.<h4>Results</h4>We present an intuit ...[more]

PMID: 31368484

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