In graph theory, an ndimensional De Bruijn graph of m symbols is a directed graph representing overlaps between sequences of symbols. It has m^{n} vertices, consisting of all possible lengthn sequences of the given symbols; the same symbol may appear multiple times in a sequence. For a set of m symbols S = {s_{1}, …, s_{m}}, the set of vertices is:
If one of the vertices can be expressed as another vertex by shifting all its symbols by one place to the left and adding a new symbol at the end of this vertex, then the latter has a directed edge to the former vertex. Thus the set of arcs (that is, directed edges) is
Although De Bruijn graphs are named after Nicolaas Govert de Bruijn, they were invented independently by both de Bruijn^{[1]} and I. J. Good.^{[2]} Much earlier, Camille Flye SainteMarie^{[3]} implicitly used their properties.
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de Bruijn graph assembly for DNA sequences

De Bruijn Graphs

De Bruijn Graph In Genome Assembly  Bioinformatics [ Bangla ]

De Bruijn Graphs Face Harsh Realities of Assembly

6. Genome Assembly
Transcription
Properties
 If n = 1, then the condition for any two vertices forming an edge holds vacuously, and hence all the vertices are connected, forming a total of m^{2} edges.
 Each vertex has exactly m incoming and m outgoing edges.
 Each ndimensional De Bruijn graph is the line digraph of the (n – 1)dimensional De Bruijn graph with the same set of symbols.^{[4]}
 Each De Bruijn graph is Eulerian and Hamiltonian. The Euler cycles and Hamiltonian cycles of these graphs (equivalent to each other via the line graph construction) are De Bruijn sequences.
The line graph construction of the three smallest binary De Bruijn graphs is depicted below. As can be seen in the illustration, each vertex of the ndimensional De Bruijn graph corresponds to an edge of the (n – 1)dimensional De Bruijn graph, and each edge in the ndimensional De Bruijn graph corresponds to a twoedge path in the (n – 1)dimensional De Bruijn graph.
Dynamical systems
Binary De Bruijn graphs can be drawn in such a way that they resemble objects from the theory of dynamical systems, such as the Lorenz attractor:
This analogy can be made rigorous: the ndimensional msymbol De Bruijn graph is a model of the Bernoulli map
The Bernoulli map (also called the 2x mod 1 map for m = 2) is an ergodic dynamical system, which can be understood to be a single shift of a madic number.^{[5]} The trajectories of this dynamical system correspond to walks in the De Bruijn graph, where the correspondence is given by mapping each real x in the interval [0,1) to the vertex corresponding to the first n digits in the basem representation of x. Equivalently, walks in the De Bruijn graph correspond to trajectories in a onesided subshift of finite type.
Embeddings resembling this one can be used to show that the binary De Bruijn graphs have queue number 2^{[6]} and that they have book thickness at most 5.^{[7]}
Uses
 Some grid network topologies are De Bruijn graphs.
 The distributed hash table protocol Koorde uses a De Bruijn graph.
 In bioinformatics, De Bruijn graphs are used for de novo assembly of sequencing reads into a genome.^{[8]}^{[9]}^{[10]}^{[11]}^{[12]}
See also
References
 ^ de Bruijn, N. G. (1946). "A combinatorial problem". Indagationes Mathematicae. 49: 758–764. MR 0018142.
 ^ Good, I. J. (1946). "Normal recurring decimals". Journal of the London Mathematical Society. 21 (3): 167–169. doi:10.1112/jlms/s121.3.167.
 ^ Flye SainteMarie, C. (1894). "Question 48". L'Intermédiaire des Mathématiciens. 1: 107–110.
 ^ Zhang, Fu Ji; Lin, Guo Ning (1987). "On the de Bruijn–Good graphs". Acta Mathematica Sinica. 30 (2): 195–205.
 ^ Leroux, Philippe (2005). "Coassociative grammar, periodic orbits, and quantum random walk over ". International Journal of Mathematics and Mathematical Sciences. 2005 (24): 3979–3996. arXiv:quantph/0209100. doi:10.1155/IJMMS.2005.3979. MR 2204471.
 ^ Heath, Lenwood S.; Rosenberg, Arnold L. (1992). "Laying out graphs using queues". SIAM Journal on Computing. 21 (5): 927–958. doi:10.1137/0221055. MR 1181408.
 ^ Obrenić, Bojana (1993). "Embedding de Bruijn and shuffleexchange graphs in five pages". SIAM Journal on Discrete Mathematics. 6 (4): 642–654. doi:10.1137/0406049. MR 1241401.
 ^ Pevzner, Pavel A.; Tang, Haixu; Waterman, Michael S. (2001). "An Eulerian path approach to DNA fragment assembly". Proceedings of the National Academy of Sciences. 98 (17): 9748–9753. Bibcode:2001PNAS...98.9748P. doi:10.1073/pnas.171285098. PMC 55524. PMID 11504945.
 ^ Pevzner, Pavel A.; Tang, Haixu (2001). "Fragment Assembly with DoubleBarreled Data". Bioinformatics. 17 (Suppl 1): S225–S233. doi:10.1093/bioinformatics/17.suppl_1.S225. PMID 11473013.
 ^ Zerbino, Daniel R.; Birney, Ewan (2008). "Velvet: algorithms for de novo short read assembly using de Bruijn graphs". Genome Research. 18 (5): 821–829. doi:10.1101/gr.074492.107. PMC 2336801. PMID 18349386.
 ^ Chikhi, R.; Limasset, A.; Jackman, S.; Simpson, J.; Medvedev, P. (2014). "On the representation of de Bruijn graphs". Journal of Computational Biology. 22 (5): 336–52. arXiv:1401.5383. doi:10.1089/cmb.2014.0160. PMID 25629448. S2CID 9502231.
 ^ Iqbal, Zamin; Caccamo, Mario; Turner, Isaac; Flicek, Paul; McVean, Gil (2012). "De novo assembly and genotyping of variants using colored de Bruijn graphs". Nature Genetics. 44 (2): 226–32. doi:10.1038/ng.1028. PMC 3272472. PMID 22231483.
External links
 Weisstein, Eric W. "De Bruijn Graph". MathWorld.
 Tutorial on using De Bruijn Graphs in Bioinformatics by Homolog.us