
Data Analysis for Omic Sciences: Methods and Applications
Description
Key Features
- Presents the best reference book for omics data analysis
- Provides a review of the latest trends in transcriptomics and metabolomics data analysis tools
- Includes examples of applications in research fields, such as environmental, biomedical and food analysis
Readership
Academic and non-academic sectors, especially in environmental, biomedical, and food analysis fields. Ph.D. students to senior researchers and scientists who need to update their knowledge regarding data analysis methods
Table of Contents
Volume Editor Preface
Roma Tauler, Carmen Bedia and Joaquim Jaumot
1. Introduction to the data analysis relevance in the omics era
Roma Tauler, Carmen Bedia and Joaquim Jaumot
2. Omics experimental design and data acquisition
Carmen Bedia
3. Microarrays data analysis
Alex Sanchez-Pla
4. Analysis of High-Throughput RNA Sequencing Data
Anna Esteve-Codina
5. Analysis of High-Throughput DNA Bisulfite Sequencing Data
Simon Charles Heath
6. Data quality assessment in untargeted LC-MS metabolomic
Julia Kuligowski, Guillermo Quintas, Angel Sanchez-Illana and Jose David Piñeiro-Ramos
7. Data normalization and scaling: consequences for the analysis in omics sciences
Jan Walach, Peter Filzmoser and Karel Hron,
8. Metabolomics data preprocessing: From raw data to features for statistical analysis
Ibrahim Karaman and Rui Climaco Pinto,
9. Exploratory data analysis and data decompositions
Ivana Stanimirova and Michal Daszykowski,
10. Chemometric methods for classification and feature selection
Federico Marini and Marina Cocchi
11. Advanced statistical multivariate data analysis
Jasper Engel and Jeroen Jansen,
12. Analysis and interpretation of mass spectrometry imaging datasets
Benjamin Bowen
13. Metabolomics tools for data analysis
Matej Oresic, Alex Dickens, Tuulia Hyötyläinen, Santosh Lamichhane and Partho Sen
14. Metabolite identification and annotation
C. Barbas, Joanna Godzien and Alberto Gil de la Fuente,
15. Multi-omic data integration and analysis via model-driven approaches
Igor Marín de Mas
16. Integration of metabolomic data from multiple analytical platforms: Toward an extensive coverage of the metabolome.
Julien Boccard and Serge Rudaz,
17. Multiomics data integration in time series experiments
Ana Conesa and Sonia Tarazona
18. Metabolomics applications in environmental research
Carmen Bedia
19. Environmental genomics
Carlos Barata and Benjamín Piña,
20. Transcriptomics and metabolomics systems biology of health and disease
Antonio Checa, Jose Fernández Navarro and Hector Gallart Ayala,
21. Foodomics applications
Alejandro Cifuentes, Alberto Valdés and Carlos León,
Product details
- No. of pages: 730
- Language: English
- Copyright: © Elsevier 2018
- Published: September 22, 2018
- Imprint: Elsevier
- Hardcover ISBN: 9780444640444
- eBook ISBN: 9780444640451
About the Serial Volume Editors
Joaquim Jaumot
Affiliations and Expertise
Carmen Bedia
Affiliations and Expertise
Romà Tauler
Affiliations and Expertise
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