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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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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