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iPiG: Integrating Peptide Spectrum Matches into Genome Browser Visualizations
Proteogenomic approaches have gained increasing popularity, however it is still difficult to integrate mass spectrometry identifications with genomic data due to differing data formats. To address this difficulty, we introduce iPiG as a tool for the integration of peptide identifications from mass s...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3514238/ https://www.ncbi.nlm.nih.gov/pubmed/23226516 http://dx.doi.org/10.1371/journal.pone.0050246 |
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author | Kuhring, Mathias Renard, Bernhard Y. |
author_facet | Kuhring, Mathias Renard, Bernhard Y. |
author_sort | Kuhring, Mathias |
collection | PubMed |
description | Proteogenomic approaches have gained increasing popularity, however it is still difficult to integrate mass spectrometry identifications with genomic data due to differing data formats. To address this difficulty, we introduce iPiG as a tool for the integration of peptide identifications from mass spectrometry experiments into existing genome browser visualizations. Thereby, the concurrent analysis of proteomic and genomic data is simplified and proteomic results can directly be compared to genomic data. iPiG is freely available from https://sourceforge.net/projects/ipig/. It is implemented in Java and can be run as a stand-alone tool with a graphical user-interface or integrated into existing workflows. Supplementary data are available at PLOS ONE online. |
format | Online Article Text |
id | pubmed-3514238 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-35142382012-12-05 iPiG: Integrating Peptide Spectrum Matches into Genome Browser Visualizations Kuhring, Mathias Renard, Bernhard Y. PLoS One Research Article Proteogenomic approaches have gained increasing popularity, however it is still difficult to integrate mass spectrometry identifications with genomic data due to differing data formats. To address this difficulty, we introduce iPiG as a tool for the integration of peptide identifications from mass spectrometry experiments into existing genome browser visualizations. Thereby, the concurrent analysis of proteomic and genomic data is simplified and proteomic results can directly be compared to genomic data. iPiG is freely available from https://sourceforge.net/projects/ipig/. It is implemented in Java and can be run as a stand-alone tool with a graphical user-interface or integrated into existing workflows. Supplementary data are available at PLOS ONE online. Public Library of Science 2012-12-04 /pmc/articles/PMC3514238/ /pubmed/23226516 http://dx.doi.org/10.1371/journal.pone.0050246 Text en © 2012 Kuhring, Renard http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Kuhring, Mathias Renard, Bernhard Y. iPiG: Integrating Peptide Spectrum Matches into Genome Browser Visualizations |
title | iPiG: Integrating Peptide Spectrum Matches into Genome Browser Visualizations |
title_full | iPiG: Integrating Peptide Spectrum Matches into Genome Browser Visualizations |
title_fullStr | iPiG: Integrating Peptide Spectrum Matches into Genome Browser Visualizations |
title_full_unstemmed | iPiG: Integrating Peptide Spectrum Matches into Genome Browser Visualizations |
title_short | iPiG: Integrating Peptide Spectrum Matches into Genome Browser Visualizations |
title_sort | ipig: integrating peptide spectrum matches into genome browser visualizations |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3514238/ https://www.ncbi.nlm.nih.gov/pubmed/23226516 http://dx.doi.org/10.1371/journal.pone.0050246 |
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