Optimal Quality Control Based on Mascot and PTM Score Model for Phosphopeptides Identification

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Abstract:

There are currently various algorithms with mass spectrometry in phosphorylation identification. Some quality control methods have also been proposed. However, a detailed comparative analysis among various methods has not been reported. In the paper, based on the theory of forward-reverse databases searching, we compare current major algorithms in database searching and identification i.e Mascot and Sequest, and compare various aspects and methods of algorithms in site assessment. We propose an effictive quality control method. Our result shows that this method can ensure the quality of identification and identify more phosphorylation sites.

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185-188

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February 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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