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Finding Maximal Exact Matches Using the r-Index.
Rossi, Massimiliano; Oliva, Marco; Bonizzoni, Paola; Langmead, Ben; Gagie, Travis; Boucher, Christina.
Afiliação
  • Rossi M; Department of Computer and Information Science and Engineering, University of Florida, Gainesville, Florida, USA.
  • Oliva M; Department of Computer and Information Science and Engineering, University of Florida, Gainesville, Florida, USA.
  • Bonizzoni P; Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milano, Italy.
  • Langmead B; Department of Computer Science, Johns Hopkins University, Baltimore, Maryland, USA.
  • Gagie T; Faculty of Computer Science, Dalhousie University, Halifax, Canada.
  • Boucher C; Department of Computer and Information Science and Engineering, University of Florida, Gainesville, Florida, USA.
J Comput Biol ; 29(2): 188-194, 2022 02.
Article em En | MEDLINE | ID: mdl-35041518
ABSTRACT
Efficiently finding maximal exact matches (MEMs) between a sequence read and a database of genomes is a key first step in read alignment. But until recently, it was unknown how to build a data structure in [Formula see text] space that supports efficient MEM finding, where r is the number of runs in the Burrows-Wheeler Transform. In 2021, Rossi et al. showed how to build a small auxiliary data structure called thresholds in addition to the r-index in [Formula see text] space. This addition enables efficient MEM finding using the r-index. In this article, we present the tool that implements this solution, which we call MONI. Namely, we give a high-level view of the main components of the data structure and show how the source code can be downloaded, compiled, and used to find MEMs between a set of sequence reads and a set of genomes.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Software / Alinhamento de Sequência Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: J Comput Biol Assunto da revista: BIOLOGIA MOLECULAR / INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Software / Alinhamento de Sequência Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: J Comput Biol Assunto da revista: BIOLOGIA MOLECULAR / INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos