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ProSave: an application for restoring quantitative data to manipulated subsets of protein lists
BACKGROUND: In proteomics studies, liquid chromatography tandem mass spectrometry data (LC-MS/MS) is quantified by spectral counts or by some measure of ion abundance. Downstream comparative analysis of protein content (e.g. Venn diagrams and network analysis) typically does not include this quantit...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6233572/ https://www.ncbi.nlm.nih.gov/pubmed/30459825 http://dx.doi.org/10.1186/s13029-018-0070-0 |
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author | Machlab, Daniel A. Velez, Gabriel Bassuk, Alexander G. Mahajan, Vinit B. |
author_facet | Machlab, Daniel A. Velez, Gabriel Bassuk, Alexander G. Mahajan, Vinit B. |
author_sort | Machlab, Daniel A. |
collection | PubMed |
description | BACKGROUND: In proteomics studies, liquid chromatography tandem mass spectrometry data (LC-MS/MS) is quantified by spectral counts or by some measure of ion abundance. Downstream comparative analysis of protein content (e.g. Venn diagrams and network analysis) typically does not include this quantitative data and critical information is often lost. To avoid loss of spectral count data in comparative proteomic analyses, it is critical to implement a tool that can rapidly retrieve this information. RESULTS: We developed ProSave, a free and user-friendly Java-based program that retrieves spectral count data from a curated list of proteins in a large proteomics dataset. ProSave allows for the management of LC-MS/MS datasets and rapidly retrieves spectral count information for a desired list of proteins. CONCLUSIONS: ProSave is open source and freely available at https://github.com/MahajanLab/ProSave. The user manual, implementation notes, and description of methodology and examples are available on the site. |
format | Online Article Text |
id | pubmed-6233572 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62335722018-11-20 ProSave: an application for restoring quantitative data to manipulated subsets of protein lists Machlab, Daniel A. Velez, Gabriel Bassuk, Alexander G. Mahajan, Vinit B. Source Code Biol Med Software BACKGROUND: In proteomics studies, liquid chromatography tandem mass spectrometry data (LC-MS/MS) is quantified by spectral counts or by some measure of ion abundance. Downstream comparative analysis of protein content (e.g. Venn diagrams and network analysis) typically does not include this quantitative data and critical information is often lost. To avoid loss of spectral count data in comparative proteomic analyses, it is critical to implement a tool that can rapidly retrieve this information. RESULTS: We developed ProSave, a free and user-friendly Java-based program that retrieves spectral count data from a curated list of proteins in a large proteomics dataset. ProSave allows for the management of LC-MS/MS datasets and rapidly retrieves spectral count information for a desired list of proteins. CONCLUSIONS: ProSave is open source and freely available at https://github.com/MahajanLab/ProSave. The user manual, implementation notes, and description of methodology and examples are available on the site. BioMed Central 2018-11-12 /pmc/articles/PMC6233572/ /pubmed/30459825 http://dx.doi.org/10.1186/s13029-018-0070-0 Text en © The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Machlab, Daniel A. Velez, Gabriel Bassuk, Alexander G. Mahajan, Vinit B. ProSave: an application for restoring quantitative data to manipulated subsets of protein lists |
title | ProSave: an application for restoring quantitative data to manipulated subsets of protein lists |
title_full | ProSave: an application for restoring quantitative data to manipulated subsets of protein lists |
title_fullStr | ProSave: an application for restoring quantitative data to manipulated subsets of protein lists |
title_full_unstemmed | ProSave: an application for restoring quantitative data to manipulated subsets of protein lists |
title_short | ProSave: an application for restoring quantitative data to manipulated subsets of protein lists |
title_sort | prosave: an application for restoring quantitative data to manipulated subsets of protein lists |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6233572/ https://www.ncbi.nlm.nih.gov/pubmed/30459825 http://dx.doi.org/10.1186/s13029-018-0070-0 |
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