Fundamentals of advanced omics technologies : from genes to metabolites
Author(s)
Bibliographic Information
Fundamentals of advanced omics technologies : from genes to metabolites
(Comprehensive analytical chemistry, v. 63)
Elsevier, c2014
Available at 7 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
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
by "Nielsen BookData"