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Scalable, ultra-fast, and low-memory construction of compacted de Bruijn graphs with Cuttlefish 2

The de Bruijn graph is a key data structure in modern computational genomics, and construction of its compacted variant resides upstream of many genomic analyses. As the quantity of genomic data grows rapidly, this often forms a computational bottleneck. We present Cuttlefish 2, significantly advanc...

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Autores principales: Khan, Jamshed, Kokot, Marek, Deorowicz, Sebastian, Patro, Rob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454175/
https://www.ncbi.nlm.nih.gov/pubmed/36076275
http://dx.doi.org/10.1186/s13059-022-02743-6
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author Khan, Jamshed
Kokot, Marek
Deorowicz, Sebastian
Patro, Rob
author_facet Khan, Jamshed
Kokot, Marek
Deorowicz, Sebastian
Patro, Rob
author_sort Khan, Jamshed
collection PubMed
description The de Bruijn graph is a key data structure in modern computational genomics, and construction of its compacted variant resides upstream of many genomic analyses. As the quantity of genomic data grows rapidly, this often forms a computational bottleneck. We present Cuttlefish 2, significantly advancing the state-of-the-art for this problem. On a commodity server, it reduces the graph construction time for 661K bacterial genomes, of size 2.58Tbp, from 4.5 days to 17–23 h; and it constructs the graph for 1.52Tbp white spruce reads in approximately 10 h, while the closest competitor requires 54–58 h, using considerably more memory. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1186/s13059-022-02743-6).
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spelling pubmed-94541752022-09-09 Scalable, ultra-fast, and low-memory construction of compacted de Bruijn graphs with Cuttlefish 2 Khan, Jamshed Kokot, Marek Deorowicz, Sebastian Patro, Rob Genome Biol Method The de Bruijn graph is a key data structure in modern computational genomics, and construction of its compacted variant resides upstream of many genomic analyses. As the quantity of genomic data grows rapidly, this often forms a computational bottleneck. We present Cuttlefish 2, significantly advancing the state-of-the-art for this problem. On a commodity server, it reduces the graph construction time for 661K bacterial genomes, of size 2.58Tbp, from 4.5 days to 17–23 h; and it constructs the graph for 1.52Tbp white spruce reads in approximately 10 h, while the closest competitor requires 54–58 h, using considerably more memory. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1186/s13059-022-02743-6). BioMed Central 2022-09-08 /pmc/articles/PMC9454175/ /pubmed/36076275 http://dx.doi.org/10.1186/s13059-022-02743-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/ 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Khan, Jamshed
Kokot, Marek
Deorowicz, Sebastian
Patro, Rob
Scalable, ultra-fast, and low-memory construction of compacted de Bruijn graphs with Cuttlefish 2
title Scalable, ultra-fast, and low-memory construction of compacted de Bruijn graphs with Cuttlefish 2
title_full Scalable, ultra-fast, and low-memory construction of compacted de Bruijn graphs with Cuttlefish 2
title_fullStr Scalable, ultra-fast, and low-memory construction of compacted de Bruijn graphs with Cuttlefish 2
title_full_unstemmed Scalable, ultra-fast, and low-memory construction of compacted de Bruijn graphs with Cuttlefish 2
title_short Scalable, ultra-fast, and low-memory construction of compacted de Bruijn graphs with Cuttlefish 2
title_sort scalable, ultra-fast, and low-memory construction of compacted de bruijn graphs with cuttlefish 2
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454175/
https://www.ncbi.nlm.nih.gov/pubmed/36076275
http://dx.doi.org/10.1186/s13059-022-02743-6
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