Mass Spectrometry Data Analysis in Proteomics /
| Autor Corporativo: | |
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| Otros Autores: | |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
New York, NY :
Springer New York : Imprint: Humana,
2020.
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| Edición: | 3rd ed. 2020. |
| Colección: | Methods in Molecular Biology,
2051 |
| Materias: |
Tabla de Contenidos:
- Introduction to Mass Spectrometry-based Proteomics
- LC-MS Spectra Processing
- Isotopic Distributions
- Retention Time Prediction and Protein Identification
- Comparing Peptide Spectra Matches Across Search Engines
- Calculation of False Discovery Rate for Peptide and Protein Identification
- Methods and Algorithms for Quantitative Proteomics by Mass Spectrometry
- Interpretation of Tandem Mass Spectra of Posttranslationally Modified Peptides
- Solution to Dark Matter Identified by Mass-tolerant Database Search
- Phosphoproteomics Profiling to Identify Altered Signaling Pathways and Kinase-targeted Cancer Therapies
- Mass Spectrometry Based Characterization of Ub- and UbL-modified Proteins
- Targeted Proteomics as a Tool for Quantifying Urine-based Biomarkers
- Data Imputation in Merged Isobaric Labelling-based Relative Quantification Datasets
- Clustering Clinical Data in R
- Review of Issues and Solutions to Data Analysis Reproducibility and Data Quality in Clinical Proteomics
- Review of Batch Effects Prevention, Diagnostics, and Correction Approaches
- Using the Object-oriented PowerShell for Simple Proteomics Data Analysis
- Considerations in the Analysis of Hydrogen Exchange Mass Spectrometry Data.