Fundamentals of advanced omics technologies : from genes to metabolites

Bibliographic Information

Fundamentals of advanced omics technologies : from genes to metabolites

edited by Carolina Simó, Alejandro Cifuentes, Virginia García-Cañas

(Comprehensive analytical chemistry, v. 63)

Elsevier, c2014

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Includes bibliographical references and index

Description and Table of Contents

Description

Fundamentals of Advanced Omics Technologies: From Genes to Metabolites covers the fundamental aspects of the new instrumental and methodological developments in omics technologies, including those related to genomics, transcriptomics, epigenetics, proteomics and metabolomics, as well as other omics approaches such as glycomics, peptidomics and foodomics. The principal applications are presented in the following complementary volume. The chapters discuss in detail omics technologies, DNA microarray analysis, next-generation sequencing technologies, genome-wide analysis of methylation and histone modifications, emerging nanotechniques in proteomics, imaging mass spectrometry in proteomics, recent quantitative proteomics approaches, and advances in high-resolution NMR-based metabolomics, as well as MS-based non-targeted metabolomics and metabolome analysis by CE-MS, global glycomics analyses, foodomics, and high resolution analytical tools for quantitative peptidomics. Key aspects related to chemometrics, bioinformatics, data treatment, data integration and systems biology, deep-sequencing data analysis, statistical approaches for the analysis of microarray data, the integration of transcriptome and metabolome data and computational approaches for visualization and integration of omics data are also covered.

Table of Contents

Genomics, Transcriptomics and Epigenetics1. DNA Microarray Technology: Overview and Current Status, A. Sanchez-Pla2. Challenges and Future Trends in DNA Microarray Analysis, A. Sedighi, P.C.H. Li3. Next Generation Sequencing: New Tools to Solve Old Challenges, I. Gobernado, A. Sanchez-Herranz, A. Jimenez-Escrig4. Omics Tools for the Genome-Wide Analysis of Methylation and Histone Modifications, Josep C. Jimenez-Chillaron, Ruben Diaz, Marta Ramon-KrauelProteomics5. An Overview of Quantitative Proteomic Approaches, A.J. McShane, V. Farrokhi, R. Nemati, S. Li, X. Yao6. Emerging Nanotechniques in Proteomics, N. Dasilva, M. Gonzalez-Gonzalez, P. Diez, R. Jara-Acevedo, L. Lourido, J.M. Sayagues, A. Orfao, M. FuentesCh. 7. Mass Spectrometry Imaging in Proteomics and Metabolomics, B. Balluff, R.J. Carreira, L.A. McDonnellMetabolomics8. Advances in NMR Based Metabolomics, G.A. Nagana Gowda, D. Raftery9. The Role of Mass Spectrometry in Non-Targeted Metabolomics, H.G. Gika, I.D. Wilson, G.A. Theodoridis10. Direct Mass Spectrometry-Based Approaches in Metabolomics, C. Ibanez, V. Garcia-Canas, A. Valdes, C. SimoOther Omics Approaches11. Global Glycomics Analysis: Methodologies and Challenges, N.W. Stebbins, R. Sasisekharan12. Applications of Glycan Microarrays to Functional Glycomics, Y.Yu, X. Song, D.F. Smith, R.D. Cummings13. High Resolution Analytical Tools for Quantitative Peptidomics, S. Dasgupta, L.D. FrickerData Treatment, Integration and Systems Biology14. Gene Expression Analysis and Profiling of Microarrays Data and RNA-Sequencing Data, J. De Las Rivas, S. Aibar, B. Roson15. Analysis of Deep Sequencing Data: Insights and Challenges, J.W. Malcom, J.H. Malone16. Bioinformatic Approaches to Increase Proteome Coverage, F.M. Mancuso, S. Cappadona, E. Sabido17. Transcriptome and Metabolome Data Integration - Technical Requisites for Successful Data Fusion and Visualization, M. Witting, P. Schmitt-Kopplin18. Computational Approaches for Visualization and Integration of Omics Data, V. Sehgal, T.J Moss, P.T. Ram

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Details

  • NCID
    BB15395592
  • ISBN
    • 9780444626516
  • Country Code
    ne
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    Amsterdam ; Tokyo
  • Pages/Volumes
    xx, 467 p.
  • Size
    24 cm
  • Classification
  • Subject Headings
  • Parent Bibliography ID
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