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WGT: Tools and algorithms for recognizing, visualizing, and generating Wheeler graphs.
Chao, Kuan-Hao; Chen, Pei-Wei; Seshia, Sanjit A; Langmead, Ben.
Afiliación
  • Chao KH; Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA.
  • Chen PW; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA 94720, USA.
  • Seshia SA; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA 94720, USA.
  • Langmead B; Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA.
iScience ; 26(8): 107402, 2023 Aug 18.
Article en En | MEDLINE | ID: mdl-37575187
A Wheeler graph represents a collection of strings in a way that is particularly easy to index and query. Such a graph is a practical choice for representing a graph-shaped pangenome, and it is the foundation for current graph-based pangenome indexes. However, there are no practical tools to visualize or to check graphs that may have the Wheeler properties. Here, we present Wheelie, an algorithm that combines a renaming heuristic with a permutation solver (Wheelie-PR) or a Satisfiability Modulo Theory (SMT) solver (Wheelie-SMT) to check whether a given graph has the Wheeler properties, a problem that is NP-complete in general. Wheelie can check a variety of random and real-world graphs in far less time than any algorithm proposed to date. It can check a graph with 1,000s of nodes in seconds. We implement these algorithms together with complementary visualization tools in the WGT toolkit, available as open source software at https://github.com/Kuanhao-Chao/Wheeler_Graph_Toolkit.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: IScience Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: IScience Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos