E-Book, Englisch, Band 2361, 326 Seiten, eBook
Reihe: Methods in Molecular Biology
Cecconi Proteomics Data Analysis
Erscheinungsjahr 2021
ISBN: 978-1-0716-1641-3
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, Band 2361, 326 Seiten, eBook
Reihe: Methods in Molecular Biology
ISBN: 978-1-0716-1641-3
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Weitere Infos & Material
Two-Dimensional Gel Electrophoresis Image Analysis.- Chemometric Tools for 2D-PAGE Data Analysis.- Software Options for the Analysis of MS Proteomic Data.- Analysis of Label-Based Quantitative Proteomics Data Using IsoProt.- Quantification of Changes in Protein Expression Using SWATH Proteomics.-Data Processing and Analysis for DIA-Based Phosphoproteomics Using Spectronaut.- Enhanced Glycopeptide Identification Using a GlyConnect Compozitor-Derived Glycan Composition File.- Elaboration Pipeline for the Management of MALDI-MS Imaging Datasets.- Features Selection and Extraction in Statistical Analysis of Proteomics Datasets.- ORA, FCS, and PT Strategies in Functional Enrichment Analysis.- A Strategy for the Annotation and GO Enrichment Analysis of a List of Differentially Expressed Proteins Using ProteoRE.- Protein Subcellular Localization Prediction.- Protein Secretion Prediction Tools and Extracellular Vesicles Databases.- Databases for Protein-Protein Interactions.- Machine and DeepLearning for Prediction of Subcellular Localization.- Deep Learning for Protein-Protein Interaction Site Prediction.- Integrative Analysis of Incongruous Cancer Genomics and Proteomics Datasets.- Integration of Proteomics and Other Omics Data.