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Chromosome assembly of large and complex genomes using multiple references
Despite the rapid development of sequencing technologies, the assembly of mammalian-scale genomes into complete chromosomes remains one of the most challenging problems in bioinformatics. To help address this difficulty, we developed Ragout 2, a reference-assisted assembly tool that works for large...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6211643/ https://www.ncbi.nlm.nih.gov/pubmed/30341161 http://dx.doi.org/10.1101/gr.236273.118 |
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author | Kolmogorov, Mikhail Armstrong, Joel Raney, Brian J. Streeter, Ian Dunn, Matthew Yang, Fengtang Odom, Duncan Flicek, Paul Keane, Thomas M. Thybert, David Paten, Benedict Pham, Son |
author_facet | Kolmogorov, Mikhail Armstrong, Joel Raney, Brian J. Streeter, Ian Dunn, Matthew Yang, Fengtang Odom, Duncan Flicek, Paul Keane, Thomas M. Thybert, David Paten, Benedict Pham, Son |
author_sort | Kolmogorov, Mikhail |
collection | PubMed |
description | Despite the rapid development of sequencing technologies, the assembly of mammalian-scale genomes into complete chromosomes remains one of the most challenging problems in bioinformatics. To help address this difficulty, we developed Ragout 2, a reference-assisted assembly tool that works for large and complex genomes. By taking one or more target assemblies (generated from an NGS assembler) and one or multiple related reference genomes, Ragout 2 infers the evolutionary relationships between the genomes and builds the final assemblies using a genome rearrangement approach. By using Ragout 2, we transformed NGS assemblies of 16 laboratory mouse strains into sets of complete chromosomes, leaving <5% of sequence unlocalized per set. Various benchmarks, including PCR testing and realigning of long Pacific Biosciences (PacBio) reads, suggest only a small number of structural errors in the final assemblies, comparable with direct assembly approaches. We applied Ragout 2 to the Mus caroli and Mus pahari genomes, which exhibit karyotype-scale variations compared with other genomes from the Muridae family. Chromosome painting maps confirmed most large-scale rearrangements that Ragout 2 detected. We applied Ragout 2 to improve draft sequences of three ape genomes that have recently been published. Ragout 2 transformed three sets of contigs (generated using PacBio reads only) into chromosome-scale assemblies with accuracy comparable to chromosome assemblies generated in the original study using BioNano maps, Hi-C, BAC clones, and FISH. |
format | Online Article Text |
id | pubmed-6211643 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-62116432018-11-13 Chromosome assembly of large and complex genomes using multiple references Kolmogorov, Mikhail Armstrong, Joel Raney, Brian J. Streeter, Ian Dunn, Matthew Yang, Fengtang Odom, Duncan Flicek, Paul Keane, Thomas M. Thybert, David Paten, Benedict Pham, Son Genome Res Method Despite the rapid development of sequencing technologies, the assembly of mammalian-scale genomes into complete chromosomes remains one of the most challenging problems in bioinformatics. To help address this difficulty, we developed Ragout 2, a reference-assisted assembly tool that works for large and complex genomes. By taking one or more target assemblies (generated from an NGS assembler) and one or multiple related reference genomes, Ragout 2 infers the evolutionary relationships between the genomes and builds the final assemblies using a genome rearrangement approach. By using Ragout 2, we transformed NGS assemblies of 16 laboratory mouse strains into sets of complete chromosomes, leaving <5% of sequence unlocalized per set. Various benchmarks, including PCR testing and realigning of long Pacific Biosciences (PacBio) reads, suggest only a small number of structural errors in the final assemblies, comparable with direct assembly approaches. We applied Ragout 2 to the Mus caroli and Mus pahari genomes, which exhibit karyotype-scale variations compared with other genomes from the Muridae family. Chromosome painting maps confirmed most large-scale rearrangements that Ragout 2 detected. We applied Ragout 2 to improve draft sequences of three ape genomes that have recently been published. Ragout 2 transformed three sets of contigs (generated using PacBio reads only) into chromosome-scale assemblies with accuracy comparable to chromosome assemblies generated in the original study using BioNano maps, Hi-C, BAC clones, and FISH. Cold Spring Harbor Laboratory Press 2018-11 /pmc/articles/PMC6211643/ /pubmed/30341161 http://dx.doi.org/10.1101/gr.236273.118 Text en © 2018 Kolmogorov et al.; Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by/4.0/ This article, published in Genome Research, is available under a Creative Commons License (Attribution 4.0 International), as described at http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Method Kolmogorov, Mikhail Armstrong, Joel Raney, Brian J. Streeter, Ian Dunn, Matthew Yang, Fengtang Odom, Duncan Flicek, Paul Keane, Thomas M. Thybert, David Paten, Benedict Pham, Son Chromosome assembly of large and complex genomes using multiple references |
title | Chromosome assembly of large and complex genomes using multiple references |
title_full | Chromosome assembly of large and complex genomes using multiple references |
title_fullStr | Chromosome assembly of large and complex genomes using multiple references |
title_full_unstemmed | Chromosome assembly of large and complex genomes using multiple references |
title_short | Chromosome assembly of large and complex genomes using multiple references |
title_sort | chromosome assembly of large and complex genomes using multiple references |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6211643/ https://www.ncbi.nlm.nih.gov/pubmed/30341161 http://dx.doi.org/10.1101/gr.236273.118 |
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