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SHR Neuro Krebs Kardio Lipid Stoffw Microb

Hartler, J; Thallinger, GG; Stocker, G; Sturn, A; Burkard, TR; Körner, E; Rader, R; Schmidt, A; Mechtler, K; Trajanoski, Z.
MASPECTRAS: a platform for management and analysis of proteomics LC-MS/MS data.
BMC Bioinformatics. 2007; 8:197-197 Doi: 10.1186/1471-2105-8-197 [OPEN ACCESS]
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Führende Autor*innen der Med Uni Graz
Hartler Jürgen

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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. 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 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.
Find related publications in this database (using NLM MeSH Indexing)
Amino Acid Sequence -
Chromatography, Liquid - methods
Database Management Systems -
Databases, Protein -
Information Storage and Retrieval - methods
Mass Spectrometry - methods
Molecular Sequence Data -
Peptide Mapping - methods
Proteome - chemistry
Proteome - metabolism
Sequence Analysis, Protein - methods
Software -
Software Design -
Systems Integration -
User-Computer Interface -

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