Multi Omics Epigenomics And Computational Analysis Of Neurodegenerative Disorders

Multi-omics, Epigenomics and Computational Analysis of Neurodegenerative Disorders

Multi-Omics in Biomedical Sciences and Environmental Sustainability

This book offers a comprehensive exploration of the cutting-edge multi-omics technologies that are revolutionizing research across biomedical sciences and environmental sustainability. It addresses the urgent need for interdisciplinary research by integrating multi-omics approaches with bioinformatics and artificial intelligence. The book explores evolution of traditional omics technologies into comprehensive multi-omics strategies that synergize data output through advanced computational tools. It covers diverse topics such as health and disease mechanisms, drug discovery innovations, COVID-19 responses, cancer treatment personalization, neuroscience insights into brain disorders, cyanobacterial natural compounds' potential for biofuel production, lichen symbiosis studies, and more. This volume integrates genomics, proteomics, metabolomics, and more with bioinformatics, machine learning, and artificial intelligence to address complex challenges in health and the environment. With contributions from renowned scholars worldwide, this book illuminates recent advances through illustrative figures and case studies that enhance understanding of complex pathways while bioinformatics strategies streamline research outcomes. This book is a must-read for researchers, academics, and professionals in life sciences, biomedical fields, and environmental studies, interested in advancing their knowledge of multi-omics applications. It is also beneficial for scientists involved in drug design or biotechnological innovations related to environmental sustainability.

Computational Epigenetics and Diseases

Computational Epigenetics and Diseases, written by leading scientists in this evolving field, provides a comprehensive and cutting-edge knowledge of computational epigenetics in human diseases. In particular, the major computational tools, databases, and strategies for computational epigenetics analysis, for example, DNA methylation, histone modifications, microRNA, noncoding RNA, and ceRNA, are summarized, in the context of human diseases. This book discusses bioinformatics methods for epigenetic analysis specifically applied to human conditions such as aging, atherosclerosis, diabetes mellitus, schizophrenia, bipolar disorder, Alzheimer disease, Parkinson disease, liver and autoimmune disorders, and reproductive and respiratory diseases. Additionally, different organ cancers, such as breast, lung, and colon, are discussed. This book is a valuable source for graduate students and researchers in genetics and bioinformatics, and several biomedical field members interested in applying computational epigenetics in their research. - Provides a comprehensive and cutting-edge knowledge of computational epigenetics in human diseases - Summarizes the major computational tools, databases, and strategies for computational epigenetics analysis, such as DNA methylation, histone modifications, microRNA, noncoding RNA, and ceRNA - Covers the major milestones and future directions of computational epigenetics in various kinds of human diseases such as aging, atherosclerosis, diabetes, heart disease, neurological disorders, cancers, blood disorders, liver diseases, reproductive diseases, respiratory diseases, autoimmune diseases, human imprinting disorders, and infectious diseases