MASPECTRAS: a platform for management and analysis of proteomics LC-MS/MS data

<p>Abstract</p> <p>Background</p> <p>The advancements of proteomics technologies have led to a rapid increase in the number, size and rate at which datasets are generated. Managing and extracting valuable information from such datasets requires the use of data managemen...

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Main Authors: Rader Robert, Körner Erik, Burkard Thomas R, Sturn Alexander, Stocker Gernot, Thallinger Gerhard G, Hartler Jürgen, Schmidt Andreas, Mechtler Karl, Trajanoski Zlatko
Format: Article
Language:English
Published: BMC 2007-06-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/8/197
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spelling doaj-226b7abb628845729ff5165a9e6f2fa72020-11-25T00:24:55ZengBMCBMC Bioinformatics1471-21052007-06-018119710.1186/1471-2105-8-197MASPECTRAS: a platform for management and analysis of proteomics LC-MS/MS dataRader RobertKörner ErikBurkard Thomas RSturn AlexanderStocker GernotThallinger Gerhard GHartler JürgenSchmidt AndreasMechtler KarlTrajanoski Zlatko<p>Abstract</p> <p>Background</p> <p>The advancements of proteomics technologies have led to a rapid increase in the number, size and rate at which datasets are generated. Managing and extracting valuable information from such datasets requires the use of data management platforms and computational approaches.</p> <p>Results</p> <p>We have developed the MAss SPECTRometry Analysis System (MASPECTRAS), a platform for management and analysis of proteomics LC-MS/MS data. MASPECTRAS is based on the Proteome Experimental Data Repository (PEDRo) relational database schema and follows the guidelines of the Proteomics Standards Initiative (PSI). Analysis modules include: 1) import and parsing of the results from the search engines SEQUEST, Mascot, Spectrum Mill, X! Tandem, and OMSSA; 2) peptide validation, 3) clustering of proteins based on Markov Clustering and multiple alignments; and 4) quantification using the Automated Statistical Analysis of Protein Abundance Ratios algorithm (ASAPRatio). The system provides customizable data retrieval and visualization tools, as well as export to PRoteomics IDEntifications public repository (PRIDE). MASPECTRAS is freely available at <url>http://genome.tugraz.at/maspectras</url></p> <p>Conclusion</p> <p>Given the unique features and the flexibility due to the use of standard software technology, our platform represents significant advance and could be of great interest to the proteomics community.</p> http://www.biomedcentral.com/1471-2105/8/197
collection DOAJ
language English
format Article
sources DOAJ
author Rader Robert
Körner Erik
Burkard Thomas R
Sturn Alexander
Stocker Gernot
Thallinger Gerhard G
Hartler Jürgen
Schmidt Andreas
Mechtler Karl
Trajanoski Zlatko
spellingShingle Rader Robert
Körner Erik
Burkard Thomas R
Sturn Alexander
Stocker Gernot
Thallinger Gerhard G
Hartler Jürgen
Schmidt Andreas
Mechtler Karl
Trajanoski Zlatko
MASPECTRAS: a platform for management and analysis of proteomics LC-MS/MS data
BMC Bioinformatics
author_facet Rader Robert
Körner Erik
Burkard Thomas R
Sturn Alexander
Stocker Gernot
Thallinger Gerhard G
Hartler Jürgen
Schmidt Andreas
Mechtler Karl
Trajanoski Zlatko
author_sort Rader Robert
title MASPECTRAS: a platform for management and analysis of proteomics LC-MS/MS data
title_short MASPECTRAS: a platform for management and analysis of proteomics LC-MS/MS data
title_full MASPECTRAS: a platform for management and analysis of proteomics LC-MS/MS data
title_fullStr MASPECTRAS: a platform for management and analysis of proteomics LC-MS/MS data
title_full_unstemmed MASPECTRAS: a platform for management and analysis of proteomics LC-MS/MS data
title_sort maspectras: a platform for management and analysis of proteomics lc-ms/ms data
publisher BMC
series BMC Bioinformatics
issn 1471-2105
publishDate 2007-06-01
description <p>Abstract</p> <p>Background</p> <p>The advancements of proteomics technologies have led to a rapid increase in the number, size and rate at which datasets are generated. Managing and extracting valuable information from such datasets requires the use of data management platforms and computational approaches.</p> <p>Results</p> <p>We have developed the MAss SPECTRometry Analysis System (MASPECTRAS), a platform for management and analysis of proteomics LC-MS/MS data. MASPECTRAS is based on the Proteome Experimental Data Repository (PEDRo) relational database schema and follows the guidelines of the Proteomics Standards Initiative (PSI). Analysis modules include: 1) import and parsing of the results from the search engines SEQUEST, Mascot, Spectrum Mill, X! Tandem, and OMSSA; 2) peptide validation, 3) clustering of proteins based on Markov Clustering and multiple alignments; and 4) quantification using the Automated Statistical Analysis of Protein Abundance Ratios algorithm (ASAPRatio). The system provides customizable data retrieval and visualization tools, as well as export to PRoteomics IDEntifications public repository (PRIDE). MASPECTRAS is freely available at <url>http://genome.tugraz.at/maspectras</url></p> <p>Conclusion</p> <p>Given the unique features and the flexibility due to the use of standard software technology, our platform represents significant advance and could be of great interest to the proteomics community.</p>
url http://www.biomedcentral.com/1471-2105/8/197
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