Multi-Omics Technology in Human Health and Diseases: Genomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics, Radiomics, Multi-omics. This item is unavailable.Multi-Omics Technology in Human Health and Diseases: Genomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics, Radiomics, Multi-omics

Multi-Omics Technology in Human Health and Diseases: Genomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics, Radiomics, Multi-omic offers an advanced exploration into the comprehensive understanding of disease etiology and prognosis through multiomics approaches. This authoritative volume delves into the applications of multiomics technology in elucidating complex human health conditions and diseases. It introduces the technology's potential for biomarker identification, drug discovery, and disease prognostication. For a thorough understanding of human health and diseases, particularly cancer, it is essential to integrate knowledge of molecular biomarkers across multiple omics levels, including the genome, epigenome, transcriptome, proteome, and metabolome. This resource addresses the current gaps in knowledge among students and researchers, providing in-depth coverage of multiomics technology and its implementation in scientific research and discovery.
Multi-Omics Technology in Human Health and Diseases: Genomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics, Radiomics, Multi-omics is a pioneering resource that presents cutting-edge information on contemporary multiomics technologies for big data interpretation and their applications in deciphering complex human pathobiology. This comprehensive guide is indispensable for researchers, academics, students, and industry professionals alike.

• Presents the most recent advancements in multiomics technology for elucidating complex human pathobiology.
• Offers comprehensive insights into understanding disease etiology and prognosis.
• Introduces the principles of multiomics technology and its applications in biomarker identification, drug discovery, and disease prognostication.
• Explores the tools and methodologies for integrating and interpreting multiomics data sets.
• Introduces multiomics databases and visualization web portals.
• Provides up-to-date information on the role of multiomics technology in understanding intricate human pathobiology.

Muzafar A. Macha is an Assistant Professor, Ramalingaswami Re-Entry Fellow, and Head of the Watson-Crick Centre for Molecular Medicine, Islamic University of Science and Technology, Awantipora, Kashmir, India. Previously, he was a Postdoctoral Fellow and Assistant Professor at the University of Nebraska Medical Centre (UNMC), USA, where he researched signaling pathways and therapeutic targets in head and neck and pancreatic cancers. He has published extensively in peer-reviewed journals and received many national and international awards.

Ajaz A. Bhat is a Senior Staff Scientist at Sidra Medicine, Qatar. He earned his PhD in Vaccine Immunology from AIIMS, New Delhi, and completed his postdoctoral fellowship at Vanderbilt University, Nashville, TN, USA, where his research was focused on tight junction proteins in colorectal cancer and bile acid–induced regulation of APE1/Ref1 in esophageal cancer. His current research is on cancer genetics, drug discovery, obesity, and diabetes.

Tariq A. Masoodi is the Chief Technology Officer at Canary Oncoceutics Inc., Arizona, USA, where he specializes in both basic and clinical research, with a particular focus on uncovering multiomic biomarkers related to cancer diagnostics and therapeutics. He holds a PhD in Bioinformatics and has published extensively in several peer-reviewed journals.