Mass spectrometry data analysis in proteomics

著者

• Matthiesen, Rune

書誌事項

Mass spectrometry data analysis in proteomics

edited by Rune Matthiesen

（Methods in molecular biology / John M. Walker, series editor, 2051）（Springer protocols）

Humana Press, c2020

3rd ed

注記

Includes bibliographical references and index

内容説明・目次

内容説明

The aim of this new edition is to provide detailed information on each topic and present novel ideas and views that can influence future developments in mass spectrometry-based proteomics. In contrast to the previous editions, this third edition aims to provide the most relevant computational methods, focusing on computational concepts. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Mass Spectrometry Data Analysis in Proteomics, Third Edition to ensure successful results in the further study of this vital field.

目次

1. Introduction to Mass Spectrometry-based Proteomics Rune Matthiesen and Jakob Bunkenborg 2. LC-MS Spectra Processing Rune Matthiesen 3. Isotopic Distributions Alan L. Rockwood and Magnus Palmblad 4. Retention Time Prediction and Protein Identification Alex Henneman and Magnus Palmblad 5. Comparing Peptide Spectra Matches Across Search Engines Rune Matthiesen, Gorka Prieto and Hans Christian Beck 6. Calculation of False Discovery Rate for Peptide and Protein Identification Gorka Prieto and Jesus Vazquez 7. Methods and Algorithms for Quantitative Proteomics by Mass Spectrometry Rune Matthiesen and Ana Sofia Carvalho 8. Interpretation of Tandem Mass Spectra of Posttranslationally Modified Peptides Jakob Bunkenborg, and Rune Matthiesen 9. Solution to Dark Matter Identified by Mass-tolerant Database Search Rune Matthiesen 10. Phosphoproteomics Profiling to Identify Altered Signaling Pathways and Kinase-targeted Cancer Therapies Barnali Deb, Irene A. George, Jyoti Sharma, and Prashant Kumar 11. Mass Spectrometry Based Characterization of Ub- and UbL-modified Proteins Nagore Elu, Benoit Lectez, Juanma Ramirez, Nerea Osinalde, and Ugo Mayor 12. Targeted Proteomics as a Tool for Quantifying Urine-based Biomarkers Sonali V Mohan, David S Nayakanti, Gajanan Sathe, Irene A Geroge, Harsha Gowda, PrashantKumar 13. Data Imputation in Merged Isobaric Labelling-based Relative Quantification Datasets Nicolai Bjodstrup Palstrom, Rune Matthiesen, and Hans Christian Beck 14. Clustering Clinical Data in R Ana Pina, Maria Paula Macedo, and Roberto Henriques 15. Review of Issues and Solutions to Data Analysis Reproducibility and Data Quality in Clinical Proteomics Mathias Walzer and Juan Antonio Vizcaino 16. Review of Batch Effects Prevention, Diagnostics, and Correction Approaches Jelena Cuklina, Patrick G. A. Pedrioli, and Ruedi Aebersold 17. Using the Object-oriented PowerShell for Simple Proteomics Data Analysis Yassene Mohammed and Magnus Palmblad 18. Considerations in the Analysis of Hydrogen Exchange Mass Spectrometry Data Michael J. Eggertson, Keith Fadgen,John R. Engen, and Thomas E. Wales

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詳細情報

• NII書誌ID(NCID): BB29625340
• ISBN:
  • 9781493997435
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: New York
• ページ数/冊数: x, 445 p.
• 大きさ: 27 cm
• 分類:
  • LCC : QP551
  • DC23 : 572.6
• 件名:
  • LCSH : Proteomics -- Methodology
  • LCSH : Mass spectrometry
• 親書誌ID:
  • BA10794673
  • BA88873632