Sequence tube maps: making graph genomes intuitive to commuters
Sequence tube maps: making graph genomes intuitive to commuters
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DOI：
10.1093/bioinformatics/btz597
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发表时间：
2019-12-15
期刊：
影响因子：
5.8
通讯作者：
Zerbino, Daniel R.
中科院分区：
文献类型：
--
作者：
Beyer, Wolfgang;Novak, Adam M.;Zerbino, Daniel R.
动机：与传统的单倍体参考基因组相比，图基因组是用于存储多个基因组序列、用于存储多态性或用于以更高的灵敏度映射测序读段的高效且紧凑的数据结构。此外，图是经过充分研究的计算机科学对象，可以有效地分析。然而，它们在基因组研究中的采用是缓慢的，部分原因是在解释graphs.Results的认知困难：我们提出了一个直观的图形表示的图形基因组，重新使用精心打磨的技术来显示公共交通网络，并证明它作为一个网络工具。
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.