Bioinformatics for mass spectrometry-based proteomics

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In recent years, there have been significant advancements in informatics supporting mass spectrometry-based proteomics research, including the development of a wide array of open-source and commercial tools for processing mass spectrometry data. While the processes are established for many commonly studied organisms, the study of HIV-1 and other viruses can be more challenging. Success requires a clear understanding of existing information in public protein databases, whether a custom protein sequence database is required, and which particular features of the bioinformatics platform are essential for HIV-1 proteomics. This chapter provides an introduction to the framework required for proteomic analyses and highlights current challenges involved with informatics surrounding HIV-1 proteomics. Readers are first introduced to the types of data that are generated in a mass spectrometry-based proteomics experiment and then how these data are analyzed. For each step in the workflow, important considerations and opportunities for data quality improvement are highlighted. The chapter concludes with a view on the future of systems biology studies using HIV-1 proteomics. Although the potential for these emerging technologies is just beginning to be explored, this chapter aims to illustrate how integration of bioinformatics and proteomic technologies, along with coordination among proteomic scientists, virologists, and clinicians, is poised to make significant contributions to the future of HIV-1 biology.

Original languageEnglish (US)
Title of host publicationHIV-1 Proteomics
Subtitle of host publicationFrom Discovery to Clinical Application
PublisherSpringer New York
Pages99-112
Number of pages14
ISBN (Electronic)9781493965427
ISBN (Print)9781493965403
DOIs
StatePublished - Jan 1 2016

Fingerprint

Computational Biology
Proteomics
Mass Spectrometry
HIV-1
Protein Databases
Informatics
Technology
Systems Biology
Workflow
Quality Improvement
Viruses
Research

Keywords

  • Bioinformatics
  • Database search
  • HIV
  • Mass spectrometry
  • Proteomics
  • Viral proteomics
  • Virology
  • Virus-host interactions

ASJC Scopus subject areas

  • Medicine(all)
  • Immunology and Microbiology(all)

Cite this

Gundry, R. L. (2016). Bioinformatics for mass spectrometry-based proteomics. In HIV-1 Proteomics: From Discovery to Clinical Application (pp. 99-112). Springer New York. https://doi.org/10.1007/978-1-4939-6542-7_7

Bioinformatics for mass spectrometry-based proteomics. / Gundry, Rebekah L.

HIV-1 Proteomics: From Discovery to Clinical Application. Springer New York, 2016. p. 99-112.

Research output: Chapter in Book/Report/Conference proceedingChapter

Gundry, RL 2016, Bioinformatics for mass spectrometry-based proteomics. in HIV-1 Proteomics: From Discovery to Clinical Application. Springer New York, pp. 99-112. https://doi.org/10.1007/978-1-4939-6542-7_7
Gundry RL. Bioinformatics for mass spectrometry-based proteomics. In HIV-1 Proteomics: From Discovery to Clinical Application. Springer New York. 2016. p. 99-112 https://doi.org/10.1007/978-1-4939-6542-7_7
Gundry, Rebekah L. / Bioinformatics for mass spectrometry-based proteomics. HIV-1 Proteomics: From Discovery to Clinical Application. Springer New York, 2016. pp. 99-112
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