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Computational Methods in Mass Spectrometry-Based Proteomics

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Translational Biomedical Informatics

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 939))

Abstract

This chapter introduces computational methods used in mass spectrometry-based proteomics, including those for addressing the critical problems such as peptide identification and protein inference, peptide and protein quantification, characterization of posttranslational modifications (PTMs), and data-independent acquisitions (DIA). The chapter concludes with emerging applications of proteomic techniques, such as metaproteomics, glycoproteomics, and proteogenomics.

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Acknowledgment

This work was supported by the grants R01 AI108888 and R01 GM103725 from National Institutes of Health (NIH).

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  1. School of Informatics and Computing, Indiana University, Bloomington, IN, USA

    Sujun Li & Haixu Tang

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  1. Sujun Li
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  1. Center for Systems Biology, Soochow University, Jiangsu, China

    Bairong Shen

  2. School of Informatics and Computing, Indiana University, Bloomington, Indiana, USA

    Haixu Tang

  3. Department of Biomedical Informatics, University of California San Diego, La Jolla, California, USA

    Xiaoqian Jiang

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Li, S., Tang, H. (2016). Computational Methods in Mass Spectrometry-Based Proteomics. In: Shen, B., Tang, H., Jiang, X. (eds) Translational Biomedical Informatics. Advances in Experimental Medicine and Biology, vol 939. Springer, Singapore. https://doi.org/10.1007/978-981-10-1503-8_4

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