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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...
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/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 |
format | Online Article Text |
id | pubmed-3722527 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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