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GAGE-B: an evaluation of genome assemblers for bacterial organisms
Motivation: A large and rapidly growing number of bacterial organisms have been sequenced by the newest sequencing technologies. Cheaper and faster sequencing technologies make it easy to generate very high coverage of bacterial genomes, but these advances mean that DNA preparation costs can exceed...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3702249/ https://www.ncbi.nlm.nih.gov/pubmed/23665771 http://dx.doi.org/10.1093/bioinformatics/btt273 |
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author | Magoc, Tanja Pabinger, Stephan Canzar, Stefan Liu, Xinyue Su, Qi Puiu, Daniela Tallon, Luke J. Salzberg, Steven L. |
author_facet | Magoc, Tanja Pabinger, Stephan Canzar, Stefan Liu, Xinyue Su, Qi Puiu, Daniela Tallon, Luke J. Salzberg, Steven L. |
author_sort | Magoc, Tanja |
collection | PubMed |
description | Motivation: A large and rapidly growing number of bacterial organisms have been sequenced by the newest sequencing technologies. Cheaper and faster sequencing technologies make it easy to generate very high coverage of bacterial genomes, but these advances mean that DNA preparation costs can exceed the cost of sequencing for small genomes. The need to contain costs often results in the creation of only a single sequencing library, which in turn introduces new challenges for genome assembly methods. Results: We evaluated the ability of multiple genome assembly programs to assemble bacterial genomes from a single, deep-coverage library. For our comparison, we chose bacterial species spanning a wide range of GC content and measured the contiguity and accuracy of the resulting assemblies. We compared the assemblies produced by this very high-coverage, one-library strategy to the best assemblies created by two-library sequencing, and we found that remarkably good bacterial assemblies are possible with just one library. We also measured the effect of read length and depth of coverage on assembly quality and determined the values that provide the best results with current algorithms. Contact: salzberg@jhu.edu Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-3702249 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-37022492013-07-05 GAGE-B: an evaluation of genome assemblers for bacterial organisms Magoc, Tanja Pabinger, Stephan Canzar, Stefan Liu, Xinyue Su, Qi Puiu, Daniela Tallon, Luke J. Salzberg, Steven L. Bioinformatics Original Papers Motivation: A large and rapidly growing number of bacterial organisms have been sequenced by the newest sequencing technologies. Cheaper and faster sequencing technologies make it easy to generate very high coverage of bacterial genomes, but these advances mean that DNA preparation costs can exceed the cost of sequencing for small genomes. The need to contain costs often results in the creation of only a single sequencing library, which in turn introduces new challenges for genome assembly methods. Results: We evaluated the ability of multiple genome assembly programs to assemble bacterial genomes from a single, deep-coverage library. For our comparison, we chose bacterial species spanning a wide range of GC content and measured the contiguity and accuracy of the resulting assemblies. We compared the assemblies produced by this very high-coverage, one-library strategy to the best assemblies created by two-library sequencing, and we found that remarkably good bacterial assemblies are possible with just one library. We also measured the effect of read length and depth of coverage on assembly quality and determined the values that provide the best results with current algorithms. Contact: salzberg@jhu.edu Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2013-07-15 2013-05-10 /pmc/articles/PMC3702249/ /pubmed/23665771 http://dx.doi.org/10.1093/bioinformatics/btt273 Text en © The Author 2013. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Papers Magoc, Tanja Pabinger, Stephan Canzar, Stefan Liu, Xinyue Su, Qi Puiu, Daniela Tallon, Luke J. Salzberg, Steven L. GAGE-B: an evaluation of genome assemblers for bacterial organisms |
title | GAGE-B: an evaluation of genome assemblers for bacterial organisms |
title_full | GAGE-B: an evaluation of genome assemblers for bacterial organisms |
title_fullStr | GAGE-B: an evaluation of genome assemblers for bacterial organisms |
title_full_unstemmed | GAGE-B: an evaluation of genome assemblers for bacterial organisms |
title_short | GAGE-B: an evaluation of genome assemblers for bacterial organisms |
title_sort | gage-b: an evaluation of genome assemblers for bacterial organisms |
topic | Original Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3702249/ https://www.ncbi.nlm.nih.gov/pubmed/23665771 http://dx.doi.org/10.1093/bioinformatics/btt273 |
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