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 analysed. 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.

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Citation:
Wolfgang Beyer, Adam M Novak, Glenn Hickey, Jeffrey Chan, Vanessa Tan, Benedict Paten, Daniel R Zerbino. Sequence tube maps: making graph genomes intuitive to commuters. Bioinformatics, 01 August 2019.