How to apply de Bruijn graphs to genome assembly.

How to apply de Bruijn graphs to genome assembly.
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DOI:
10.1038/nbt.2023
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发表时间:
2011-11-08
影响因子:
46.9
通讯作者:
Tesler G
Tesler G
中科院分区:
工程技术1区
文献类型:
--
作者:
Compeau PE;Pevzner PA;Tesler G

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The development of algorithmic ideas for Next-Generation Sequencing (NGS) can be traced back three hundred years to the Prussian city of Königsberg (present-day Kaliningrad, Russia), where seven bridges joined the four parts of the city located on opposing banks of the Pregel River and two river islands (Fig. 1a). Königsberg’s residents enjoyed strolling through the city, and they wondered: is it possible to visit every part of the city by walking across each of the seven bridges exactly once and returning to one’s starting location? Remarkably, the conceptual breakthrough used in 1735 to solve this Bridges of Königsberg Problem by the great mathematician Leonhard Euler1 also enables the assembly of billions of short sequencing reads.Euler’s first insight was to represent each landmass as a point (called a node) and each bridge as a line segment (called an edge) connecting the appropriate two points. This creates a graph—a network of nodes connected by edges (Fig. 1b). By describing a procedure for determining whether an arbitrary graph contains an Eulerian cycle (a path through the graph that visits every edge exactly once and returns back where it started), Euler not only resolved the Bridges of Königsberg Problem but also effectively launched the entire branch of mathematics known today as graph theory2.
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