Chapter title |
Protein Identification from Tandem Mass Spectra by Database Searching
|
---|---|
Chapter number | 17 |
Book title |
Protein Bioinformatics
|
Published in |
Methods in molecular biology, February 2017
|
DOI | 10.1007/978-1-4939-6783-4_17 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6781-0, 978-1-4939-6783-4
|
Authors |
Nathan J. Edwards |
Editors |
Cathy H. Wu, Cecilia N. Arighi, Karen E. Ross |
Abstract |
Protein identification from tandem mass spectra is one of the most versatile and widely used proteomics workflows, able to identify proteins, characterize post-translational modifications, and provide semiquantitative measurements of relative protein abundance. This manuscript describes the concepts, prerequisites, and methods required to analyze a tandem mass spectrometry dataset in order to identify its proteins, by using a tandem mass spectrometry search engine to search protein sequence databases. The discussion includes instructions for extraction, preparation, and formatting of spectral datafiles, selection of appropriate search parameter settings, and basic interpretation of the results. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Korea, Republic of | 1 | 3% |
Unknown | 29 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 30% |
Student > Master | 7 | 23% |
Researcher | 6 | 20% |
Student > Doctoral Student | 1 | 3% |
Unknown | 7 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 13 | 43% |
Biochemistry, Genetics and Molecular Biology | 5 | 17% |
Medicine and Dentistry | 3 | 10% |
Immunology and Microbiology | 1 | 3% |
Chemistry | 1 | 3% |
Other | 0 | 0% |
Unknown | 7 | 23% |