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High-throughput microbial population genomics using the Cortex variation assembler

Summary: We have developed a software package, Cortex, designed for the analysis of genetic variation by de novo assembly of multiple samples. This allows direct comparison of samples without using a reference genome as intermediate and incorporates discovery and genotyping of single-nucleotide poly...

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Detalles Bibliográficos
Autores principales: Iqbal, Zamin, Turner, Isaac, McVean, Gil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3546798/
https://www.ncbi.nlm.nih.gov/pubmed/23172865
http://dx.doi.org/10.1093/bioinformatics/bts673
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author Iqbal, Zamin
Turner, Isaac
McVean, Gil
author_facet Iqbal, Zamin
Turner, Isaac
McVean, Gil
author_sort Iqbal, Zamin
collection PubMed
description Summary: We have developed a software package, Cortex, designed for the analysis of genetic variation by de novo assembly of multiple samples. This allows direct comparison of samples without using a reference genome as intermediate and incorporates discovery and genotyping of single-nucleotide polymorphisms, indels and larger events in a single framework. We introduce pipelines which simplify the analysis of microbial samples and increase discovery power; these also enable the construction of a graph of known sequence and variation in a species, against which new samples can be compared rapidly. We demonstrate the ease-of-use and power by reproducing the results of studies using both long and short reads. Availability: http://cortexassembler.sourceforge.net (GPLv3 license). Contact: zam@well.ox.ac.uk, mcvean@well.ox.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-35467982014-01-15 High-throughput microbial population genomics using the Cortex variation assembler Iqbal, Zamin Turner, Isaac McVean, Gil Bioinformatics Applications Note Summary: We have developed a software package, Cortex, designed for the analysis of genetic variation by de novo assembly of multiple samples. This allows direct comparison of samples without using a reference genome as intermediate and incorporates discovery and genotyping of single-nucleotide polymorphisms, indels and larger events in a single framework. We introduce pipelines which simplify the analysis of microbial samples and increase discovery power; these also enable the construction of a graph of known sequence and variation in a species, against which new samples can be compared rapidly. We demonstrate the ease-of-use and power by reproducing the results of studies using both long and short reads. Availability: http://cortexassembler.sourceforge.net (GPLv3 license). Contact: zam@well.ox.ac.uk, mcvean@well.ox.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2013-01-15 2012-11-19 /pmc/articles/PMC3546798/ /pubmed/23172865 http://dx.doi.org/10.1093/bioinformatics/bts673 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ TThis 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 Applications Note
Iqbal, Zamin
Turner, Isaac
McVean, Gil
High-throughput microbial population genomics using the Cortex variation assembler
title High-throughput microbial population genomics using the Cortex variation assembler
title_full High-throughput microbial population genomics using the Cortex variation assembler
title_fullStr High-throughput microbial population genomics using the Cortex variation assembler
title_full_unstemmed High-throughput microbial population genomics using the Cortex variation assembler
title_short High-throughput microbial population genomics using the Cortex variation assembler
title_sort high-throughput microbial population genomics using the cortex variation assembler
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3546798/
https://www.ncbi.nlm.nih.gov/pubmed/23172865
http://dx.doi.org/10.1093/bioinformatics/bts673
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