Automated reprocessing pipeline for searching heterogeneous mass spectrometric data of the HUPO Brain Proteome Project pilot phase
| Autor: | Rolf Apweiler, Kai A. Reidegeld, Martin Blüggel, Lennart Martens, Chris F. Taylor, David Parkinson, Christian Stephan, Gerhard Körting, Helmut E. Meyer, Andrew Lyall, Pierre-Alain Binz, Daniel Chamrad, Katrin Marcus, Michael Hamacher, André van Hall, Herbert Thiele, Michael Müller, Philip Jones |
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| Rok vydání: | 2006 |
| Předmět: |
Proteome
media_common.quotation_subject Information Storage and Retrieval Pilot Projects Biology Proteomics computer.software_genre Biochemistry Mass Spectrometry Human proteome project Humans Multicenter Studies as Topic Quality (business) Databases Protein Molecular Biology media_common Database model Brain Computational Biology Mass spectrometric Pipeline (software) Identification (information) ComputingMethodologies_PATTERNRECOGNITION Data mining computer Algorithms |
| Zdroj: | Proteomics. 6(18) |
| ISSN: | 1615-9853 |
| Popis: | The newly available techniques for sensitive proteome analysis and the resulting amount of data require a new bioinformatics focus on automatic methods for spectrum reprocessing and peptide/protein validation. Manual validation of results in such studies is not feasible and objective enough for quality relevant interpretation. The necessity for tools enabling an automatic quality control is, therefore, important to produce reliable and comparable data in such big consortia as the Human Proteome Organization Brain Proteome Project. Standards and well-defined processing pipelines are important for these consortia. We show a way for choosing the right database model, through collecting data, processing these with a decoy database and end up with a quality controlled protein list merged from several search engines, including a known false-positive rate. |
| Databáze: | OpenAIRE |
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