Literature DB >> 26357315

An O(m log m)-Time Algorithm for Detecting Superbubbles.

Wing-Kin Sung, Kunihiko Sadakane, Tetsuo Shibuya, Abha Belorkar, Iana Pyrogova.   

Abstract

In genome assembly graphs, motifs such as tips, bubbles, and cross links are studied in order to find sequencing errors and to understand the nature of the genome. Superbubble, a complex generalization of bubbles, was recently proposed as an important subgraph class for analyzing assembly graphs. At present, a quadratic time algorithm is known. This paper gives an O(m log m)-time algorithm to solve this problem for a graph with m edges.

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Year:  2015        PMID: 26357315     DOI: 10.1109/TCBB.2014.2385696

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  4 in total

1.  Superbubbles, Ultrabubbles, and Cacti.

Authors:  Benedict Paten; Jordan M Eizenga; Yohei M Rosen; Adam M Novak; Erik Garrison; Glenn Hickey
Journal:  J Comput Biol       Date:  2018-02-20       Impact factor: 1.479

2.  Superbubbles revisited.

Authors:  Fabian Gärtner; Lydia Müller; Peter F Stadler
Journal:  Algorithms Mol Biol       Date:  2018-12-01       Impact factor: 1.405

3.  Scalable multiple whole-genome alignment and locally collinear block construction with SibeliaZ.

Authors:  Ilia Minkin; Paul Medvedev
Journal:  Nat Commun       Date:  2020-12-10       Impact factor: 14.919

4.  A tri-tuple coordinate system derived for fast and accurate analysis of the colored de Bruijn graph-based pangenomes.

Authors:  Jindan Guo; Erli Pang; Hongtao Song; Kui Lin
Journal:  BMC Bioinformatics       Date:  2021-05-27       Impact factor: 3.169

  4 in total

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