A Dynamic Programming Approach to De Novo Peptide Sequencing via Tandem Mass Spectrometry
نویسندگان
چکیده
منابع مشابه
A Dynamic Programming Approach to De Novo Peptide Sequencing via Tandem Mass Spectrometry (Extended Abstract)
متن کامل
MSNovo: a dynamic programming algorithm for de novo peptide sequencing via tandem mass spectrometry.
Tandem mass spectrometry (MS/MS) has become the experimental method of choice for high-throughput proteomics-based biological discovery. The two primary ways of analyzing MS/MS data are database search and de novo sequencing. In this paper, we present a new approach to peptide de novo sequencing, called MSNovo, which has the following advanced features. (1) It works on data generated from both ...
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Tandem mass spectrometry has emerged to be one of the most powerful high-throughput techniques for protein identification. Tandem mass spectrometry selects and fragments peptides of interest into N-terminal ions and C-terminal ions, and it measures the mass/charge ratios of these ions. The de novo peptide sequencing problem is to derive the peptide sequences from given tandem mass spectral data...
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The impact of mixture spectra deconvolution on the performance of four popular de novo sequencing programs was tested using artificially constructed mixture spectra as well as experimental proteomics data. Mixture fragmentation spectra are recognized as a limitation in proteomics because they decrease the identification performance using database search engines. De novo sequencing approaches ar...
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The recent proliferation of novel mass spectrometers such as Fourier transform, QTOF, and OrbiTrap marks a transition into the era of precision mass spectrometry, providing a 2 orders of magnitude boost to the mass resolution, as compared to low-precision ion-trap detectors. We investigate peptide de novo sequencing by precision mass spectrometry and explore some of the differences when compare...
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ژورنال
عنوان ژورنال: Journal of Computational Biology
سال: 2001
ISSN: 1066-5277,1557-8666
DOI: 10.1089/10665270152530872