Presenting an area of research that intersects with and integrates diverse disciplines, including molecular biology, applied informatics, and statistics, among others, Bioinformatics for Omics Data: Methods and Protocols collects contributions from expert researchers in order to provide practical guidelines to this complex study. Divided into three convenient sections, this detailed volume covers central analysis strategies, standardization and data-management guidelines, and fundamental statistics for analyzing Omics profiles, followed by a section on bioinformatics approaches for specific Omics tracks, spanning genome, transcriptome, proteome, and metabolome levels, as well as an assortment of examples of integrated Omics bioinformatics applications, complemented by case studies on biomarker and target identification in the context of human disease. Written in the highly successful Methods in Molecular Biology™ series format, chapters contain introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and notes on troubleshooting and avoiding known pitfalls.
Vital to academic researchers, the medical field, and especially to biotech and pharmaceutical scientists, metabolomics is a rapidly expanding field that will provide a key link between functional biology (phenotypes) and the inner workings of cells in tissues or whole organisms. In The Handbook of Metabolomics, expert researchers provide readers with the current state of metabolomic development and the integration of metabolomics with transcriptomics and proteomics, illustrated by research efforts related to toxicology and pharmacology. The detailed contributions deal with topics ranging from sample preparation and considerations, both laboratory and clinical, analytical methodologies for metabolite and isotopomer profiling, metabolic flux modeling, database construction, and the integration of ‘omics for systems biochemical understanding, amongst other topics.