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AdvISER-PYRO: Amplicon Identification using SparsE Representation of PYROsequencing signal

Motivation: Converting a pyrosequencing signal into a nucleotide sequence appears highly challenging when signal intensities are low (unitary peak heights [Image: see text]) or when complex signals are produced by several target amplicons. In these cases, the pyrosequencing software fails to provide...

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Autores principales: Ambroise, Jérôme, Piette, Anne-Sophie, Delcorps, Cathy, Rigouts, Leen, de Jong, Bouke C., Irenge, Leonid, Robert, Annie, Gala, Jean-Luc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3722527/
https://www.ncbi.nlm.nih.gov/pubmed/23772051
http://dx.doi.org/10.1093/bioinformatics/btt339
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author Ambroise, Jérôme
Piette, Anne-Sophie
Delcorps, Cathy
Rigouts, Leen
de Jong, Bouke C.
Irenge, Leonid
Robert, Annie
Gala, Jean-Luc
author_facet Ambroise, Jérôme
Piette, Anne-Sophie
Delcorps, Cathy
Rigouts, Leen
de Jong, Bouke C.
Irenge, Leonid
Robert, Annie
Gala, Jean-Luc
author_sort Ambroise, Jérôme
collection PubMed
description Motivation: Converting a pyrosequencing signal into a nucleotide sequence appears highly challenging when signal intensities are low (unitary peak heights [Image: see text]) or when complex signals are produced by several target amplicons. In these cases, the pyrosequencing software fails to provide correct nucleotide sequences. Accordingly, the objective was to develop the AdvISER-PYRO algorithm, performing an automated, fast and reliable analysis of pyrosequencing signals that circumvents those limitations. Results: In the current mycobacterial amplicon genotyping application, AdvISER-PYRO performed much better than the pyrosequencing software in the following two situations: when converting Single Amplicon Sample (SAS) signals into a correct single sequence (97.2% versus 56.5%), and when translating Multiple Amplicon Sample (MAS) signals into the correct sequence pair (74.5%). Availability: AdvISER-PYRO is implemented in an R package (http://sites.uclouvain.be/md-ctma/index.php/softwares) and can be used in broad range of clinical applications including multiplex pyrosequencing and oncogene re-sequencing in heterogeneous tumor cell samples. Contact: jerome.ambroise@uclouvain.be or jean-luc.gala@uclouvain.be
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spelling pubmed-37225272013-07-25 AdvISER-PYRO: Amplicon Identification using SparsE Representation of PYROsequencing signal Ambroise, Jérôme Piette, Anne-Sophie Delcorps, Cathy Rigouts, Leen de Jong, Bouke C. Irenge, Leonid Robert, Annie Gala, Jean-Luc Bioinformatics Original Papers Motivation: Converting a pyrosequencing signal into a nucleotide sequence appears highly challenging when signal intensities are low (unitary peak heights [Image: see text]) or when complex signals are produced by several target amplicons. In these cases, the pyrosequencing software fails to provide correct nucleotide sequences. Accordingly, the objective was to develop the AdvISER-PYRO algorithm, performing an automated, fast and reliable analysis of pyrosequencing signals that circumvents those limitations. Results: In the current mycobacterial amplicon genotyping application, AdvISER-PYRO performed much better than the pyrosequencing software in the following two situations: when converting Single Amplicon Sample (SAS) signals into a correct single sequence (97.2% versus 56.5%), and when translating Multiple Amplicon Sample (MAS) signals into the correct sequence pair (74.5%). Availability: AdvISER-PYRO is implemented in an R package (http://sites.uclouvain.be/md-ctma/index.php/softwares) and can be used in broad range of clinical applications including multiplex pyrosequencing and oncogene re-sequencing in heterogeneous tumor cell samples. Contact: jerome.ambroise@uclouvain.be or jean-luc.gala@uclouvain.be Oxford University Press 2013-08-15 2013-06-14 /pmc/articles/PMC3722527/ /pubmed/23772051 http://dx.doi.org/10.1093/bioinformatics/btt339 Text en © The Author 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Papers
Ambroise, Jérôme
Piette, Anne-Sophie
Delcorps, Cathy
Rigouts, Leen
de Jong, Bouke C.
Irenge, Leonid
Robert, Annie
Gala, Jean-Luc
AdvISER-PYRO: Amplicon Identification using SparsE Representation of PYROsequencing signal
title AdvISER-PYRO: Amplicon Identification using SparsE Representation of PYROsequencing signal
title_full AdvISER-PYRO: Amplicon Identification using SparsE Representation of PYROsequencing signal
title_fullStr AdvISER-PYRO: Amplicon Identification using SparsE Representation of PYROsequencing signal
title_full_unstemmed AdvISER-PYRO: Amplicon Identification using SparsE Representation of PYROsequencing signal
title_short AdvISER-PYRO: Amplicon Identification using SparsE Representation of PYROsequencing signal
title_sort adviser-pyro: amplicon identification using sparse representation of pyrosequencing signal
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3722527/
https://www.ncbi.nlm.nih.gov/pubmed/23772051
http://dx.doi.org/10.1093/bioinformatics/btt339
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