New representation and algorithm for drawing RNA structure with pseudoknots

Yujin Lee, Wootaek Kim, Kyungsook Han

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Visualization of a complex molecular structure is a valuable tool in understanding the structure. A drawing of RNA pseudoknot structures is a graph (and a possibly nonplanar graph) with inner cycles within a pseudoknot as well as possible outer cycles formed between a pseudoknot and other structural elements. Thus, drawing RNA pseudoknot structures is computationally more difficult than depicting RNA secondary structures. Although several algorithms have been developed for drawing RNA secondary structures, none of these can be used to draw RNA pseudoknots and thus visualizing RNA pseudoknots relies on significant amount of manual work. Visualizing RNA pseudoknots by manual work becomes more difficult and yields worse results as the size and complexity of the RNA structures increase. We have developed a new representation method and an algorithm for visualizing RNA pseudoknots as a twodimensional drawing and implemented the algorithm in a program. The new representation produces uniform and clear drawings with no edge crossing for all kinds of pseudoknots, including H-type and other complex types. Given RNA structure data, we represent the whole structure as a tree rather than as a graph by hiding the inner cycles as well as the outer cycles in the nodes of the abstract tree. Once the top-level RNA structure is represented as a tree, nodes of the tree are placed and drawn in increasing order of their depth values. Experimental results demonstrate that the algorithm generates a clear and aesthetically pleasing drawing of large-scale RNA structures, containing any number of pseudoknots. This is the first algorithm for automatically drawing RNA structure with pseudoknots.

Original languageEnglish
Title of host publicationData Warehousing and Knowledge Discovery - 4th International Conference, DaWaK 2002, Proceedings
EditorsYahiko Kambayashi, Werner Winiwarter, Masatoshi Arikawa
PublisherSpringer Verlag
Pages191-201
Number of pages11
ISBN (Print)3540441239, 9783540441236
DOIs
StatePublished - 2002
Event4th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2002 - Aix-en-Provence, France
Duration: 4 Sep 20026 Sep 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2454 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2002
Country/TerritoryFrance
CityAix-en-Provence
Period4/09/026/09/02

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