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Simplitigs as an efficient and scalable representation of de Bruijn graphs
de Bruijn graphs play an essential role in bioinformatics, yet they lack a universal scalable representation. Here, we introduce simplitigs as a compact, efficient, and scalable representation, and ProphAsm, a fast algorithm for their computation. For the example of assemblies of model organisms and...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8025321/ https://www.ncbi.nlm.nih.gov/pubmed/33823902 http://dx.doi.org/10.1186/s13059-021-02297-z |
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author | Břinda, Karel Baym, Michael Kucherov, Gregory |
author_facet | Břinda, Karel Baym, Michael Kucherov, Gregory |
author_sort | Břinda, Karel |
collection | PubMed |
description | de Bruijn graphs play an essential role in bioinformatics, yet they lack a universal scalable representation. Here, we introduce simplitigs as a compact, efficient, and scalable representation, and ProphAsm, a fast algorithm for their computation. For the example of assemblies of model organisms and two bacterial pan-genomes, we compare simplitigs to unitigs, the best existing representation, and demonstrate that simplitigs provide a substantial improvement in the cumulative sequence length and their number. When combined with the commonly used Burrows-Wheeler Transform index, simplitigs reduce memory, and index loading and query times, as demonstrated with large-scale examples of GenBank bacterial pan-genomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02297-z. |
format | Online Article Text |
id | pubmed-8025321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-80253212021-04-07 Simplitigs as an efficient and scalable representation of de Bruijn graphs Břinda, Karel Baym, Michael Kucherov, Gregory Genome Biol Method de Bruijn graphs play an essential role in bioinformatics, yet they lack a universal scalable representation. Here, we introduce simplitigs as a compact, efficient, and scalable representation, and ProphAsm, a fast algorithm for their computation. For the example of assemblies of model organisms and two bacterial pan-genomes, we compare simplitigs to unitigs, the best existing representation, and demonstrate that simplitigs provide a substantial improvement in the cumulative sequence length and their number. When combined with the commonly used Burrows-Wheeler Transform index, simplitigs reduce memory, and index loading and query times, as demonstrated with large-scale examples of GenBank bacterial pan-genomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02297-z. BioMed Central 2021-04-06 /pmc/articles/PMC8025321/ /pubmed/33823902 http://dx.doi.org/10.1186/s13059-021-02297-z Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Method Břinda, Karel Baym, Michael Kucherov, Gregory Simplitigs as an efficient and scalable representation of de Bruijn graphs |
title | Simplitigs as an efficient and scalable representation of de Bruijn graphs |
title_full | Simplitigs as an efficient and scalable representation of de Bruijn graphs |
title_fullStr | Simplitigs as an efficient and scalable representation of de Bruijn graphs |
title_full_unstemmed | Simplitigs as an efficient and scalable representation of de Bruijn graphs |
title_short | Simplitigs as an efficient and scalable representation of de Bruijn graphs |
title_sort | simplitigs as an efficient and scalable representation of de bruijn graphs |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8025321/ https://www.ncbi.nlm.nih.gov/pubmed/33823902 http://dx.doi.org/10.1186/s13059-021-02297-z |
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