This book describes the history of tobacco genomics, from its "discovery" by Europeans to next-generation omics approaches in plant science. The authors primarily focus on the allotetraploid common tobacco plant (N. tabacum); however, separate chapters are dedicated to closely related Nicotiana species, such as N. benthamiana and N. attenuata, for which substantial progress in omics data analysis has been already achieved. While genetic maps, transcriptomes, and physical maps of BAC libraries have significantly enhanced our understanding of the tobacco plant, the genome of tobacco and related Nicotiana species has opened a new era in modern tobacco research. This book addresses current and future industrial and research applications as well as central challenges in tobacco science, including diseases, low variability of cultivars, the genome's large size, polyploidy, and gene duplication.

This book describes the history of tobacco genomics, from its "discovery" by Europeans to next-generation omics approaches in plant science. The authors primarily focus on the allotetraploid common tobacco plant (N. tabacum); however, separate chapters are dedicated to closely related Nicotiana species, such as N. benthamiana and N. attenuata, for which substantial progress in omics data analysis has been already achieved. While genetic maps, transcriptomes, and physical maps of BAC libraries have significantly enhanced our understanding of the tobacco plant, the genome of tobacco and related Nicotiana species has opened a new era in modern tobacco research. This book addresses current and future industrial and research applications as well as central challenges in tobacco science, including diseases, low variability of cultivars, the genome's large size, polyploidy, and gene duplication.

This detailed volume explores key state-of-the-art computational applications that are crucial in Systems Toxicology. The recent technological developments in experimental biology and multi-omics measurements that enable Systems Biology and Systems Toxicology can only be fully leveraged by the application of a broad range of computational approaches ranging from data management to mathematical modeling. Taking this into account, chapters in this book cover data management and processing, data analysis, biological network building and analysis, as well as the application of computational methods to toxicological assessment. Written for the Methods in Pharmacology and Toxicology series, Computational Systems Toxicology includes the kind of key practical advice that will aid readers in furthering our knowledge of toxic substances and reactions to them.