序列管图：让图基因组更容易被通勤者理解。
Sequence tube maps: making graph genomes intuitive to commuters.
机构信息
UC Santa Cruz Genomics Institute.
Department of Biomolecular Engineering, University of California, Santa Cruz, CA, USA.
出版信息
Bioinformatics. 2019 Dec 15;35(24):5318-5320. doi: 10.1093/bioinformatics/btz597.
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.
动机
与传统的单倍体参考基因组相比，图基因组是一种高效、紧凑的数据结构，可用于存储多个基因组序列，存储多态性或提高测序读取的映射灵敏度。此外，图是经过充分研究的计算机科学对象，可以有效地进行分析。然而，它们在基因组研究中的应用进展缓慢，部分原因是解释图的认知难度。
结果
我们提出了一种直观的图形表示方法，用于图基因组，它重新使用了经过精心开发的技术来显示公共交通网络，并将其作为一个网络工具进行了演示。
可用性和实现
代码：https://github.com/vgteam/sequenceTubeMap。
演示
https://vgteam.github.io/sequenceTubeMap/。
补充信息
补充数据可在Bioinformatics 在线获得。
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