This book explains omics at the most basic level, including how this new concept can be properly utilized in molecular and systems biology research. Most reviews and books on this topic have mainly focused on the technicalities and complexity of each omics´ platform, impeding readers to wholly understand its fundamentals and applications. This book tackles such gap and will be most beneficial to novice in this area, university students and even researchers. Basic workflow and practical guidance in each omics are also described, such that scientists can properly design their experimentation effectively. Furthermore, how each omics platform has been conducted in our institute (INBIOSIS) is also detailed, a comprehensive example on this topic to further enhance readers´ understanding. The contributors of each chapter have utilized the platforms in various manner within their own research and beyond. The contributors have also been interactively integrated and combined these different omics approaches in their research, being able to systematically write each chapter with the conscious knowledge of other inter-relating topics of omics. The potential readers and audience of this book can come from undergraduate and postgraduate students who wish to extend their comprehension in the topics of molecular biology and big data analysis using omics platforms. Furthermore, researchers and scientists whom may have expertise in basic molecular biology can extend their experimentation using the omics technologies and workflow outlined in this book, benefiting their research in the long run.
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.
This detailed volume serves clinicians and basic science researchers studying the increasingly antibiotic resistant Gram-negative bacterium Acinetobacter baumannii. Chapters detail microbiological techniques, biochemical techniques, clinical samples, and next generation omics techniques to characterize the organism at the molecular level. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Acinetobacter baumannii: Methods and Protocols aims to ensure successful results in the further study of this high priority area of antibiotic study.
This book offers a comprehensive introduction to using Mathematica and the Wolfram Language for Bioinformatics. The chapters build gradually from basic concepts and the introduction of the Wolfram Language and coding paradigms in Mathematica, to detailed worked examples derived from typical research applications using Wolfram Language code. The coding examples range from basic sequence analysis, accessing genomic databases, differential gene expression, and machine learning implementations to time series analysis of longitudinal omics experiments, multi-omics integration and building dynamic interactive bioinformatics tools using the Wolfram Language. The topics address the daily bioinformatics needs of a broad audience: experimental users looking to understand and visualize their data, beginner bioinformaticians acquiring coding expertise in providing biological research solutions, and practicing expert bioinformaticians working on omics who wish to expand their toolset to include the Wolfram Language.
This volume provides detailed descriptions on cutting-edge experimental methods to assess the multiple and complex interactions between T. cruzi and its host. Chapters detail a series of methods and protocols, ranging from rather classical biochemical/genetic approaches to modern, powerful and high-throughput ´-omics´ technologies, to tackle this issue, as well as novel techniques to improve treatment and clinical evaluation of Chagasic patients. Genome-wide mining strategies aimed at identifying potential parasite antigens and vaccine candidates and an overview on the challenges and milestones encountered during T. cruzi genome assembly are also included. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, T. cruzi Infection: Methods and Protocols aims to provide students, researchers, and clinicians who are interested in the study of Chagas disease an indispensable source of information.
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.