A dynamic wavelet-based algorithm for pre-processing tandem mass spectrometry data

Bioinformatics
Penghao WangJean Yee Hwa Yang

Abstract

Mass spectrometry (MS)-based proteomics is one of the most commonly used research techniques for identifying and characterizing proteins in biological and medical research. The identification of a protein is the critical first step in elucidating its biological function. Successful protein identification depends on various interrelated factors, including effective analysis of MS data generated in a proteomic experiment. This analysis comprises several stages, often combined in a pipeline or workflow. The first component of the analysis is known as spectra pre-processing. In this component, the raw data generated by the mass spectrometer is processed to eliminate noise and identify the mass-to-charge ratio (m/z) and intensity for the peaks in the spectrum corresponding to the presence of certain peptides or peptide fragments. Since all downstream analyses depend on the pre-processed data, effective pre-processing is critical to protein identification and characterization. There is a critical need for more robust pre-processing algorithms that perform well on tandem mass spectra under a variety of different conditions and can be easily integrated into sophisticated data analysis pipelines for practical wet-lab applications. We ha...Continue Reading

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Citations

Aug 22, 2012·Journal of the American Society for Mass Spectrometry·Szu-Wei ChouWen-Ping Peng
Apr 3, 2012·Bioinformatics·Penghao WangJean Yee Hwa Yang
Jan 5, 2013·International Journal of Biological Sciences·Bin Yu, Yan Zhang
Mar 16, 2018·Science Translational Medicine·James E CassatEric P Skaar

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