Proteomics Data Analysis (e-book) (used book) | bookbook.eu

Description

Part I: Data Analysis for Gel-Based Proteomics

1. Two-Dimensional Gel Electrophoresis Image Analysis

Elisa Robotti, Elisa Calà, and Emilio Marengo

2. Chemometric Tools for 2D-PAGE Data Analysis

Elisa Robotti, Elisa Calà, and Emilio Marengo

Part II: Data Analysis for Gel-Free Proteomics

3. Software Options for the Analysis of MS Proteomic Data

Avinash Yadav, Federica Marini, Alessandro Cuomo, and Tiziana Bonaldi

4. Analysis of Label-Based Quantitative Proteomics Data Using IsoProt

Johannes Griss and Veit Schwämmle

5. Quantification of Changes in Protein Expression Using SWATH Proteomics

Clarissa Braccia, Nara Liessi, and Andrea Armirotti

6. Data Processing and Analysis for DIA-Based Phosphoproteomics Using Spectronaut

Ana Martinez-Val, Dorte Breinholdt Bekker-Jensen, Alexander Hogrebe, and Jesper Velgaard Olsen

7. Enhanced Glycopeptide Identification Using a GlyConnect Compozitor-Derived Glycan Composition File

Julien Mariethoz, Catherine Hayes, and Frédérique Lisacek

8. Elaboration Pipeline for the Management of MALDI-MS Imaging Datasets

Andrew Smith, Isabella Piga, Vanna Denti, Clizia Chinello, and Fulvio Magni

Marta Lualdi and Mauro Fasano

Part III: Proteomics Data Interpretation

10. ORA, FCS, and PT Strategies in Functional Enrichment Analysis

Marco Fernandes and Holger Husi

11. A Strategy for the Annotation and GO Enrichment Analysis of a List of Differentially Expressed Proteins Using ProteoRE

Florence Combes, Valentin Loux, and Yves Vandenbrouck

12. Protein Subcellular Localization Prediction

Elettra Barberis, Emilio Marengo, and Marcello Manfredi

13. Protein Secretion Prediction Tools and Extracellular Vesicles Databases

Daniela Cecconi, Claudia Di Carlo, and Jessica Brandi

14. Databases for Protein-Protein Interactions

Natsu Nakajima, Tatsuya Akutsu, and Ryuichiro Nakato

15. Machine and Deep Learning for Prediction of Subcellular Localization

Gaofeng Pan, Chao Sun, Zijun Liao, and Jijun Tang

16. Deep Learning for Protein-Protein Interaction Site Prediction

Arian R. Jamasb, Ben Day, Cătălina Cangea, Pietro Liò, and Tom L. Blundell

Part IV: