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Spaced Seed Data Structures for De Novo Assembly
De novo assembly of the genome of a species is essential in the absence of a reference genome sequence. Many scalable assembly algorithms use the de Bruijn graph (DBG) paradigm to reconstruct genomes, where a table of subsequences of a certain length is derived from the reads, and their overlaps are...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4619942/ https://www.ncbi.nlm.nih.gov/pubmed/26539459 http://dx.doi.org/10.1155/2015/196591 |
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author | Birol, Inanç Chu, Justin Mohamadi, Hamid Jackman, Shaun D. Raghavan, Karthika Vandervalk, Benjamin P. Raymond, Anthony Warren, René L. |
author_facet | Birol, Inanç Chu, Justin Mohamadi, Hamid Jackman, Shaun D. Raghavan, Karthika Vandervalk, Benjamin P. Raymond, Anthony Warren, René L. |
author_sort | Birol, Inanç |
collection | PubMed |
description | De novo assembly of the genome of a species is essential in the absence of a reference genome sequence. Many scalable assembly algorithms use the de Bruijn graph (DBG) paradigm to reconstruct genomes, where a table of subsequences of a certain length is derived from the reads, and their overlaps are analyzed to assemble sequences. Despite longer subsequences unlocking longer genomic features for assembly, associated increase in compute resources limits the practicability of DBG over other assembly archetypes already designed for longer reads. Here, we revisit the DBG paradigm to adapt it to the changing sequencing technology landscape and introduce three data structure designs for spaced seeds in the form of paired subsequences. These data structures address memory and run time constraints imposed by longer reads. We observe that when a fixed distance separates seed pairs, it provides increased sequence specificity with increased gap length. Further, we note that Bloom filters would be suitable to implicitly store spaced seeds and be tolerant to sequencing errors. Building on this concept, we describe a data structure for tracking the frequencies of observed spaced seeds. These data structure designs will have applications in genome, transcriptome and metagenome assemblies, and read error correction. |
format | Online Article Text |
id | pubmed-4619942 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-46199422015-11-04 Spaced Seed Data Structures for De Novo Assembly Birol, Inanç Chu, Justin Mohamadi, Hamid Jackman, Shaun D. Raghavan, Karthika Vandervalk, Benjamin P. Raymond, Anthony Warren, René L. Int J Genomics Research Article De novo assembly of the genome of a species is essential in the absence of a reference genome sequence. Many scalable assembly algorithms use the de Bruijn graph (DBG) paradigm to reconstruct genomes, where a table of subsequences of a certain length is derived from the reads, and their overlaps are analyzed to assemble sequences. Despite longer subsequences unlocking longer genomic features for assembly, associated increase in compute resources limits the practicability of DBG over other assembly archetypes already designed for longer reads. Here, we revisit the DBG paradigm to adapt it to the changing sequencing technology landscape and introduce three data structure designs for spaced seeds in the form of paired subsequences. These data structures address memory and run time constraints imposed by longer reads. We observe that when a fixed distance separates seed pairs, it provides increased sequence specificity with increased gap length. Further, we note that Bloom filters would be suitable to implicitly store spaced seeds and be tolerant to sequencing errors. Building on this concept, we describe a data structure for tracking the frequencies of observed spaced seeds. These data structure designs will have applications in genome, transcriptome and metagenome assemblies, and read error correction. Hindawi Publishing Corporation 2015 2015-10-11 /pmc/articles/PMC4619942/ /pubmed/26539459 http://dx.doi.org/10.1155/2015/196591 Text en Copyright © 2015 Inanç Birol et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Birol, Inanç Chu, Justin Mohamadi, Hamid Jackman, Shaun D. Raghavan, Karthika Vandervalk, Benjamin P. Raymond, Anthony Warren, René L. Spaced Seed Data Structures for De Novo Assembly |
title | Spaced Seed Data Structures for De Novo Assembly |
title_full | Spaced Seed Data Structures for De Novo Assembly |
title_fullStr | Spaced Seed Data Structures for De Novo Assembly |
title_full_unstemmed | Spaced Seed Data Structures for De Novo Assembly |
title_short | Spaced Seed Data Structures for De Novo Assembly |
title_sort | spaced seed data structures for de novo assembly |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4619942/ https://www.ncbi.nlm.nih.gov/pubmed/26539459 http://dx.doi.org/10.1155/2015/196591 |
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