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FrameDP: sensitive peptide detection on noisy matured sequences
Summary: Transcriptome sequencing represents a fundamental source of information for genome-wide studies and transcriptome analysis and will become increasingly important for expression analysis as new sequencing technologies takes over array technology. The identification of the protein-coding regi...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2647831/ https://www.ncbi.nlm.nih.gov/pubmed/19153134 http://dx.doi.org/10.1093/bioinformatics/btp024 |
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author | Gouzy, Jérôme Carrere, Sébastien Schiex, Thomas |
author_facet | Gouzy, Jérôme Carrere, Sébastien Schiex, Thomas |
author_sort | Gouzy, Jérôme |
collection | PubMed |
description | Summary: Transcriptome sequencing represents a fundamental source of information for genome-wide studies and transcriptome analysis and will become increasingly important for expression analysis as new sequencing technologies takes over array technology. The identification of the protein-coding region in transcript sequences is a prerequisite for systematic amino acid-level analysis and more specifically for domain identification. In this article, we present FrameDP, a self-training integrative pipeline for predicting CDS in transcripts which can adapt itself to different levels of sequence qualities. Availability: FrameDP for Linux (web-server and underlying pipeline) is available at {{http://iant.toulouse.inra.fr/FrameDP}} for direct use or a standalone installation. Contact: thomas.schiex@toulouse.inra.fr |
format | Text |
id | pubmed-2647831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-26478312009-04-24 FrameDP: sensitive peptide detection on noisy matured sequences Gouzy, Jérôme Carrere, Sébastien Schiex, Thomas Bioinformatics Applications Note Summary: Transcriptome sequencing represents a fundamental source of information for genome-wide studies and transcriptome analysis and will become increasingly important for expression analysis as new sequencing technologies takes over array technology. The identification of the protein-coding region in transcript sequences is a prerequisite for systematic amino acid-level analysis and more specifically for domain identification. In this article, we present FrameDP, a self-training integrative pipeline for predicting CDS in transcripts which can adapt itself to different levels of sequence qualities. Availability: FrameDP for Linux (web-server and underlying pipeline) is available at {{http://iant.toulouse.inra.fr/FrameDP}} for direct use or a standalone installation. Contact: thomas.schiex@toulouse.inra.fr Oxford University Press 2009-03-01 2009-01-19 /pmc/articles/PMC2647831/ /pubmed/19153134 http://dx.doi.org/10.1093/bioinformatics/btp024 Text en © 2009 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Gouzy, Jérôme Carrere, Sébastien Schiex, Thomas FrameDP: sensitive peptide detection on noisy matured sequences |
title | FrameDP: sensitive peptide detection on noisy matured sequences |
title_full | FrameDP: sensitive peptide detection on noisy matured sequences |
title_fullStr | FrameDP: sensitive peptide detection on noisy matured sequences |
title_full_unstemmed | FrameDP: sensitive peptide detection on noisy matured sequences |
title_short | FrameDP: sensitive peptide detection on noisy matured sequences |
title_sort | framedp: sensitive peptide detection on noisy matured sequences |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2647831/ https://www.ncbi.nlm.nih.gov/pubmed/19153134 http://dx.doi.org/10.1093/bioinformatics/btp024 |
work_keys_str_mv | AT gouzyjerome framedpsensitivepeptidedetectiononnoisymaturedsequences AT carreresebastien framedpsensitivepeptidedetectiononnoisymaturedsequences AT schiexthomas framedpsensitivepeptidedetectiononnoisymaturedsequences |