Peak bagging for peptide mass fingerprinting

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Peak bagging for peptide mass fingerprinting

MOTIVATION Mass Spectrometry (MS)-based protein identification via peptide mass fingerprinting (PMF) is a key component in high-throughput proteome research. While PMF was the first commonly used protein identification method, provided higher throughput than the tandem MS-based method, its accuracy is lower than that of the tandem MS method. Thus, it is desirable to develop PMF-based algorithm ...

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This paper presents a complete high-performance reconfigurable computing solution for real-time Peptide Mass Fingerprinting. The system, which implements both stages of computation associated with this protein identification technique the processing of the raw mass spectrum and the database search in FPGA hardware, can deliver the complete search results in less than a quarter of a second. This...

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Identification of proteins by mass spectrometry (MS) is an essential step in proteomic studies and is typically accomplished by either peptide mass fingerprinting (PMF) or amino acid sequencing of the peptide. Although sequence information from MS/MS analysis can be used to validate PMF-based protein identification, it may not be practical when analyzing a large number of proteins and when high...

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Protein identification by mass spectrometry (MS) is an important technique in proteomics. By searching an MS spectrum against a given protein database, the most matched proteins are sorted using a scoring function and the top one is often considered the correctly identified protein. Peptide mass fingerprinting (PMF) is one of the major methods for protein identification using MS technology. It ...

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ژورنال

عنوان ژورنال: Bioinformatics

سال: 2008

ISSN: 1367-4803,1460-2059

DOI: 10.1093/bioinformatics/btn123