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...

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Autores principales: Mathias Kuhring, Bernhard Y Renard
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Publicado: Public Library of Science (PLoS) 2012
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Acceso en línea:https://doaj.org/article/1e9ecddc44674c8b94ce2f18209aaf1c
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spelling oai:doaj.org-article:1e9ecddc44674c8b94ce2f18209aaf1c2021-11-18T08:06:27ZiPiG: integrating peptide spectrum matches into genome browser visualizations.1932-620310.1371/journal.pone.0050246https://doaj.org/article/1e9ecddc44674c8b94ce2f18209aaf1c2012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23226516/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Proteogenomic 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.Mathias KuhringBernhard Y RenardPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 12, p e50246 (2012)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Mathias Kuhring
Bernhard Y Renard
iPiG: integrating peptide spectrum matches into genome browser visualizations.
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 article
author Mathias Kuhring
Bernhard Y Renard
author_facet Mathias Kuhring
Bernhard Y Renard
author_sort Mathias Kuhring
title iPiG: integrating peptide spectrum matches into genome browser visualizations.
title_short 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_sort ipig: integrating peptide spectrum matches into genome browser visualizations.
publisher Public Library of Science (PLoS)
publishDate 2012
url https://doaj.org/article/1e9ecddc44674c8b94ce2f18209aaf1c
work_keys_str_mv AT mathiaskuhring ipigintegratingpeptidespectrummatchesintogenomebrowservisualizations
AT bernhardyrenard ipigintegratingpeptidespectrummatchesintogenomebrowservisualizations
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