Rune Matthiesen
Springer New York
3e druk, 2020
9781493997466
Mass Spectrometry Data Analysis in Proteomics
Specificaties
Paperback, blz.
|
Engels
Springer New York |
3e druk, 2020
ISBN13: 9781493997466
Rubricering
Onderdeel van serie
Methods in Molecular Biology
Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
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.
Specificaties
ISBN13:9781493997466
Taal:Engels
Bindwijze:paperback
Uitgever:Springer New York
Druk:3
Inhoudsopgave
<p>1. Introduction to Mass Spectrometry-based Proteomics</p>
<p>Rune Matthiesen and Jakob Bunkenborg</p>
<p> </p>
<p>2. LC-MS Spectra Processing</p>
<p>Rune Matthiesen</p>
<p> </p>
<p>3. Isotopic Distributions</p>
<p>Alan L. Rockwood and Magnus Palmblad<sup></sup></p>
<p> </p>
<p>4. Retention Time Prediction and Protein Identification</p>
<p>Alex Henneman and Magnus Palmblad</p>
<p> </p>
<p>5. Comparing Peptide Spectra Matches Across Search Engines</p>
<p>Rune Matthiesen, Gorka Prieto and Hans Christian Beck</p>
<p> </p>
<p>6. Calculation of False Discovery Rate for Peptide and Protein Identification</p>
<p>Gorka Prieto and Jesús Vázquez</p>
<p> </p>
<p>7. Methods and Algorithms for Quantitative Proteomics by Mass Spectrometry</p>
<p>Rune Matthiesen and Ana Sofia Carvalho</p>
8. Interpretation of Tandem Mass Spectra of Posttranslationally Modified Peptides <p>Jakob Bunkenborg, and Rune Matthiesen </p>
<p> </p>
<p>9. Solution to Dark Matter Identified by Mass-tolerant Database Search</p>
<p>Rune Matthiesen</p>
<p> </p>
10. Phosphoproteomics Profiling to Identify Altered Signaling Pathways and Kinase-targeted Cancer Therapies<p></p>
<p>Barnali Deb, Irene A. George, Jyoti Sharma,<sup> </sup>and Prashant Kumar<sup></sup></p>
<p><sup> </sup></p>
<p>11. Mass Spectrometry Based Characterization of Ub- and UbL-modified Proteins</p>
<p>Nagore Elu, Benoit Lectez, Juanma Ramirez, Nerea Osinalde, and Ugo Mayor <sup></sup></p>
<p> </p>
<p>12. Targeted Proteomics as a Tool for Quantifying Urine-based Biomarkers</p>
<p>Sonali V Mohan, David S Nayakanti, Gajanan Sathe, Irene A Geroge, Harsha Gowda, PrashantKumar<sup></sup></p>
<p> </p>
<p>13. Data Imputation in Merged Isobaric Labelling-based Relative Quantification Datasets</p>
<p>Nicolai Bjødstrup Palstrøm, Rune Matthiesen, and Hans Christian Beck</p>
<p> </p>
<p>14. Clustering Clinical Data in R</p>
<p>Ana Pina, Maria Paula Macedo, and Roberto Henriques</p>
15. Review of Issues and Solutions to Data Analysis Reproducibility and Data Quality in Clinical Proteomics <p><strong>Mathias Walzer and Juan Antonio Vizcaíno</strong></p>
<p><strong> </strong></p>
<p><strong>16</strong><strong>. </strong>Review of Batch Effects Prevention, Diagnostics, and Correction Approaches</p>
<p>Jelena Čuklina, Patrick G. A. Pedrioli, and Ruedi Aebersold<sup></sup></p>
<p> </p>
17. Using the Object-oriented PowerShell for Simple Proteomics Data Analysis<p></p>
<p>Yassene Mohammed and Magnus Palmblad</p>
<p> </p>
<p>18. Considerations in the Analysis of Hydrogen Exchange Mass Spectrometry Data</p>
Michael J. Eggertson, Keith Fadgen,John R. Engen, and Thomas E. Wales<sup> </sup><p></p>
<p>Rune Matthiesen and Jakob Bunkenborg</p>
<p> </p>
<p>2. LC-MS Spectra Processing</p>
<p>Rune Matthiesen</p>
<p> </p>
<p>3. Isotopic Distributions</p>
<p>Alan L. Rockwood and Magnus Palmblad<sup></sup></p>
<p> </p>
<p>4. Retention Time Prediction and Protein Identification</p>
<p>Alex Henneman and Magnus Palmblad</p>
<p> </p>
<p>5. Comparing Peptide Spectra Matches Across Search Engines</p>
<p>Rune Matthiesen, Gorka Prieto and Hans Christian Beck</p>
<p> </p>
<p>6. Calculation of False Discovery Rate for Peptide and Protein Identification</p>
<p>Gorka Prieto and Jesús Vázquez</p>
<p> </p>
<p>7. Methods and Algorithms for Quantitative Proteomics by Mass Spectrometry</p>
<p>Rune Matthiesen and Ana Sofia Carvalho</p>
8. Interpretation of Tandem Mass Spectra of Posttranslationally Modified Peptides <p>Jakob Bunkenborg, and Rune Matthiesen </p>
<p> </p>
<p>9. Solution to Dark Matter Identified by Mass-tolerant Database Search</p>
<p>Rune Matthiesen</p>
<p> </p>
10. Phosphoproteomics Profiling to Identify Altered Signaling Pathways and Kinase-targeted Cancer Therapies<p></p>
<p>Barnali Deb, Irene A. George, Jyoti Sharma,<sup> </sup>and Prashant Kumar<sup></sup></p>
<p><sup> </sup></p>
<p>11. Mass Spectrometry Based Characterization of Ub- and UbL-modified Proteins</p>
<p>Nagore Elu, Benoit Lectez, Juanma Ramirez, Nerea Osinalde, and Ugo Mayor <sup></sup></p>
<p> </p>
<p>12. Targeted Proteomics as a Tool for Quantifying Urine-based Biomarkers</p>
<p>Sonali V Mohan, David S Nayakanti, Gajanan Sathe, Irene A Geroge, Harsha Gowda, PrashantKumar<sup></sup></p>
<p> </p>
<p>13. Data Imputation in Merged Isobaric Labelling-based Relative Quantification Datasets</p>
<p>Nicolai Bjødstrup Palstrøm, Rune Matthiesen, and Hans Christian Beck</p>
<p> </p>
<p>14. Clustering Clinical Data in R</p>
<p>Ana Pina, Maria Paula Macedo, and Roberto Henriques</p>
15. Review of Issues and Solutions to Data Analysis Reproducibility and Data Quality in Clinical Proteomics <p><strong>Mathias Walzer and Juan Antonio Vizcaíno</strong></p>
<p><strong> </strong></p>
<p><strong>16</strong><strong>. </strong>Review of Batch Effects Prevention, Diagnostics, and Correction Approaches</p>
<p>Jelena Čuklina, Patrick G. A. Pedrioli, and Ruedi Aebersold<sup></sup></p>
<p> </p>
17. Using the Object-oriented PowerShell for Simple Proteomics Data Analysis<p></p>
<p>Yassene Mohammed and Magnus Palmblad</p>
<p> </p>
<p>18. Considerations in the Analysis of Hydrogen Exchange Mass Spectrometry Data</p>
Michael J. Eggertson, Keith Fadgen,John R. Engen, and Thomas E. Wales<sup> </sup><p></p>