4.5 Article

Assessing peptide de novo sequencing algorithms performance on large and diverse data sets

期刊

PROTEOMICS
卷 7, 期 17, 页码 3051-3054

出版社

WILEY
DOI: 10.1002/pmic.200700224

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algorithm; bioinformatics; de novo sequencing

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De novo peptide sequencing algorithms are often tested on relatively small data sets made of excellent spectra. Since there are always more and more tandem mass spectra available, we have assembled six large, reliable, and diverse (three mass spectrometer types) data sets intended for such tests and we make them accessible via a web server. To exemplify their use we investigate the performance of Lutefisk, PepNovo, and PepNovoTag, three well-established peptide de novo sequencing programs.

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