Literature DB >> 24629183

Bioinformatics tools to identify and quantify proteins using mass spectrometry data.

So Young Ryu1.   

Abstract

Proteomics tries to understand biological function of an organism by studying its protein expressions. Mass spectrometry is used in the field of shotgun proteomics, and it generates mass spectra that are used to identify and quantify proteins in biological samples. In this chapter, we discuss the bioinformatics algorithms to analyze mass spectrometry data. After briefly describing how mass spectrometry generates data, we illustrate the bioinformatics algorithms and software for protein identification such as de novo approach and database-searching approach. We also discuss the bioinformatics algorithms and software to quantify proteins and detect the differential proteins using isotope-coded affinity tags and label-free mass spectrometry data.
© 2014 Elsevier Inc. All rights reserved.

Keywords:  Bioinformatics; Mass spectrometry; Protein identification; Protein quantification; Proteomics; Software

Mesh:

Substances:

Year:  2014        PMID: 24629183     DOI: 10.1016/B978-0-12-800168-4.00001-9

Source DB:  PubMed          Journal:  Adv Protein Chem Struct Biol        ISSN: 1876-1623            Impact factor:   3.507


  3 in total

1.  A Triple Knockout (TKO) Proteomics Standard for Diagnosing Ion Interference in Isobaric Labeling Experiments.

Authors:  Joao A Paulo; Jeremy D O'Connell; Steven P Gygi
Journal:  J Am Soc Mass Spectrom       Date:  2016-07-11       Impact factor: 3.109

2.  Detecting differential protein expression in large-scale population proteomics.

Authors:  So Young Ryu; Wei-Jun Qian; David G Camp; Richard D Smith; Ronald G Tompkins; Ronald W Davis; Wenzhong Xiao
Journal:  Bioinformatics       Date:  2014-06-12       Impact factor: 6.937

Review 3.  Proteomics in Rheumatoid Arthritis Research.

Authors:  Yune-Jung Park; Min Kyung Chung; Daehee Hwang; Wan-Uk Kim
Journal:  Immune Netw       Date:  2015-08-26       Impact factor: 6.303

  3 in total

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