Elsevier Data Analysis for Omic Sciences: Methods and Applications (Volume 82) (Comprehensive Analytical Chemistry, Volume 82)

Data Analysis for Omic Sciences: Methods and Applications, Volume 82, shows how these types of challenging datasets can be analyzed. Examples of applications in real environmental, clinical and food analysis cases help readers disseminate these approaches. Chapters of note include an Introduction to Data Analysis Relevance in the Omics Era, Omics Experimental Design and Data Acquisition, Microarrays Data, Analysis of High-Throughput RNA Sequencing Data, Analysis of High-Throughput DNA Bisulfite Sequencing Data, Data Quality Assessment in Untargeted LC-MS Metabolomic, Data Normalization and Scaling, Metabolomics Data Preprocessing, and more. 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 Review Updates the latest information on Omics, Data Analysis, Metabolomics, Transcriptomics, Chemometrics, Mass Spectrometry, Nuclear Magnetic Resonance, and more About the Author Joaquim Jaumot is Research Scientist at the Spanish National Research Council (CSIC) in the Institute of Environmental Assessment and Water Research (IDAEA-CSIC). He graduated in Chemistry in 2001 and received a Ph.D. in Chemistry in 2006 both from the University of Barcelona (Barcelona, Spain). He has published more than 50 scientific papers and participated in several national and international projects. His main research line is focused on the development and application of chemometric data analysis tools to the study of different types of chemical and biological systems. For instance, he has actively participated in the development of the multivariate curve resolution alternating least squares (MCR-ALS) software. In recent years, his research has been focused on the analysis of large -omic data sets. In particular, main efforts have been aimed at the development and application of chemometric tools in the analysis of mass spectrometry metabolomic data evaluating effects of environmental stressors on model organisms. Carmen Bedia studied Pharmacy at the University of Barcelona (Spain) and obtained her Ph.D. in 2007 in the field of sphingolipid metabolism, in the Spanish National Research Council (CSIC, Barcelona). She moved to the French Institute of Health and Medical Research (INSERM, Toulouse, France) as a postdoctoral researcher where she focused on cell biology of sphingolipid metabolism in the development of melanoma malignancy. After her return to Barcelona in 2010 to the CSIC, she has been working as postdoctoral researcher on medicinal chemistry of sphingolipids and she expanded her knowledge about lipidomics in biological samples using LC-MS. Since 2013 she works in the Institute of Environmental Assessment and Water Research (IDAEA-CSIC) in the frame of an ERC awarded project in which she uses chemometric techniques to extract meaningful information from LC-MS and Mass Spectrometry imaging datasets, in order to investigate the effects of environmental pollutants on human and plant cells. Romà Tauler graduated in Chemistry from the University of Barcelona (1977) and in 1984 obtained his Ph.D. degree in Analytical Chemistry at the University of Barcelona. He was Associate Professor at the University of Barcelona (Analytical Chemistry Dept) from 1987 to 2003. Since July 2003, he is Research Professor at the Institute of Environmental Assessment and Water Research (IDÆA) of the Spanish National Research Council (CSIC). During these years, he carried out postdoc stays at Institut für Anorg. u. Anal. Chemie - Univ. of Innsbruck (Innsbruck, Austria, 1985 and 1989) and a sabbatical leave as a research scientist at the Center for Process Analytical Chemistry (CPAC) - University of Washington (Seattle, US, 1992). Until now, he has published more than 360 papers in ISI journals (WoS gives 11.656 citat