Proteomics Data Analysis: Methods in Molecular Biology, cartea 2361
Editat de Daniela Cecconien Limba Engleză Paperback – 9 iul 2022
Authoritative and practical, Proteomics Data Analysis serves as an idealguide to introduce researchers, both experienced and novice, to new tools and approaches for data analysis to encourage the further study of proteomics.
Toate formatele și edițiile | Preț | Express |
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Paperback (1) | 787.47 lei 43-57 zile | |
Springer Us – 9 iul 2022 | 787.47 lei 43-57 zile | |
Hardback (1) | 1120.18 lei 43-57 zile | |
Springer Us – 9 iul 2021 | 1120.18 lei 43-57 zile |
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Specificații
ISBN-13: 9781071616437
ISBN-10: 1071616439
Ilustrații: XIII, 326 p. 54 illus., 46 illus. in color.
Dimensiuni: 178 x 254 mm
Greutate: 0.6 kg
Ediția:1st ed. 2021
Editura: Springer Us
Colecția Humana
Seria Methods in Molecular Biology
Locul publicării:New York, NY, United States
ISBN-10: 1071616439
Ilustrații: XIII, 326 p. 54 illus., 46 illus. in color.
Dimensiuni: 178 x 254 mm
Greutate: 0.6 kg
Ediția:1st ed. 2021
Editura: Springer Us
Colecția Humana
Seria Methods in Molecular Biology
Locul publicării:New York, NY, United States
Cuprins
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.
Textul de pe ultima copertă
This thorough book collects methods and strategies to analyze proteomics data. It is intended to describe how data obtained by gel-based or gel-free proteomics approaches can be inspected, organized, and interpreted to extrapolate biological information. Organized into four sections, the volume explores strategies to analyze proteomics data obtained by gel-based approaches, different data analysis approaches for gel-free proteomics experiments, bioinformatic tools for the interpretation of proteomics data to obtain biological significant information, as well as methods to integrate proteomics data with other omics datasets including genomics, transcriptomics, metabolomics, and other types of data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that will ensure high quality results in the lab.
Chapter 16 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Authoritative and practical, Proteomics Data Analysis serves as an idealguide to introduce researchers, both experienced and novice, to new tools and approaches for data analysis to encourage the further study of proteomics.
Caracteristici
Includes cutting-edge techniques Provides step-by-step detail essential for reproducible results Contains key implementation advice from the experts