This volume on metabonomics provides detailed information on the procedures involved in nuclear magnetic resonance (NMR) spectroscopy, gas chromatography-mass spectrometry (GS-MS), liquid chromatography-mass spectrometry (LC-MS), and capillary electrophoresis-mass spectrometry (CE-MS).
The rapid expansion of synthetic biology is due to the design and construction of synthetic gene networks that have opened many new avenues in fundamental and applied research.
Due to the failing "e;one-drug-fits-all"e; model, it has become increasingly necessary to develop personalized medicine that treats whole systems and brings the right drug to the right patient with the right dosages.
Small molecule microarrays (SMM) were introduced just a decade ago in 1999 and, within a short space of time, have already established themselves as a vibrant, next generation platform for high-throughput screening.
At the intersection of metabolite analysis, metabolic fingerprinting, and metabolomics, the study of metabolic profiling has evolved steadily over the course of time as have the methods and technologies involved in its study.
Chemogenomics aims toward the systematic identification of small molecules that interact with the products of the genome and modulate their biological function.
This book provides current glycoinformatics methods and protocols used to support the determination of carbohydrate structures in biological samples as well as carbohydrate structure databases, the interaction of carbohydrates with proteins, and theoretical and experimental methods to study their three-dimensional structure and dynamics.
This volume offers detailed step-by-step instructions to allow beginners and experts alike to run appropriate copy number variants (CNV) detection software on a dataset of choice and discern between false positive noise and true positive CNV signals.
In the early years of microarray technology, efforts were directed mainly at profiling expressed genes, while recently the microarray platform has been adapted into diverse applications directed toward the investigation of the physical genome.
This book focuses on recent developments in docking simulations for target proteins with chapters on specific techniques or applications for docking simulations, including the major docking programs.
The advancement of biomedical engineering has enabled the generation of multi-omics data by developing high-throughput technologies, such as next-generation sequencing, mass spectrometry, and microarrays.
As a fairly new and expansive area of study, plant systems biology has been approached by scientists from fields as varied as plant physiology and astrophysics, creating a wide variety of techniques and methods to further this vital research.
This book provides a single-source reference on the current state of the ribosome profiling method by describing experimental protocols for the quantitative analysis of translation in a variety of model organisms.
This book provides a comprehensive, interdisciplinary collection of the main, up-to-date methods, tools, and techniques for microarray data analysis, covering the necessary steps for the acquisition of the data, its preprocessing, and its posterior analysis.
This book provides a comprehensive guide to scientists, engineers, and students that employ metabolomics in their work, with an emphasis on the understanding and interpretation of the data.
This volume guides readers through the field of systems medicine by defining the terminology, and describing how established computational methods form bioinformatics and systems biology can be taken forward to an integrative systems medicine approach.
In Protein Dynamics: Methods and Protocols, expert researchers in the field detail both experimental and computational methods to interrogate molecular level fluctuations.
In Tiling Arrays: Methods and Protocols, expert researchers in the field detail many of the methods which are now commonly used to study tiling microarrays in genomic discovery .
This book aims to present the impact of Artificial Intelligence (AI) and Big Data in healthcare for medical decision making and data analysis in myriad fields including Radiology, Radiomics, Radiogenomics, Oncology, Pharmacology, COVID-19 prognosis, Cardiac imaging, Neuroradiology, Psychiatry and others.
Carbohydrate microarrays emerged as a key technology for the deciphering of the glycospace by providing a multiplex technology where tens to hundreds of carbohydrates/protein interactions can be probed in parallel.
Not only is the quantity of life science data expanding, but new types of biological data continue to be introduced as a result of technological development and a growing understanding of biological systems.
With the rapid development of proteomic technologies in the life sciences and in clinical applications, many bioinformatics methodologies, databases, and software tools have been developed to support comparative proteomics study.
With the ultimate goal of systematically and robustly defining the specific perturbations necessary to alter a cellular phenotype, systems metabolic engineering has the potential to lead to a complete cell model capable of simulating cell and metabolic function as well as predicting phenotypic response to changes in media, gene knockouts/overexpressions, or the incorporation of heterologous pathways.
Computational systems biology is the term that we use to describe computational methods to identify, infer, model, and store relationships between the molecules, pathways, and cells ('systems') involved in a living organism.
Exploring the 2-D gel mapping field, the chapters in this book are separated into four different categories: Part I talks about 2-D maps reproducibility and maps modeling; Part II describes the image analysis tools that provide spot volume datasets; Part III is about the statistical methods applied to spot volume datasets to identify candidate biomarkers; and Part IV discusses differential analysis from direct image analysis tools.
This volume introduces Translational Bioinformatics as it relates to therapeutic development, and addresses the techniques needed to effectively translate large data sets to relevant biological networks.
This volume details state-of-art eQTL analysis, where interdisciplinary researchers are provided both theoretical and practical guidance to eQTL analysis and interpretation.
This second edition provides new and updated chapters from expert researchers in the field detailing methods used to study the multi-facet deep sequencing data field.
Due to their versatility, along with the diminishing costs of library synthesis and the growth of commercial support, peptide microarrays will likely expand beyond being just a research tool into an adaptable and powerful platform to be harnessed for wider drug discovery and point-of-care applications.
Digital Transformation in Healthcare in Post-Covid19 Times discusses recent advances in patient care and offers critical comparative insights into their application across multiple domains in healthcare.
This book updates knowledge on recent advances in computational, biophysical and bioinformatics tools/techniques and their practical applications in modern drug design and discovery paradigm.
Digital Transformation in Healthcare in Post-Covid19 Times discusses recent advances in patient care and offers critical comparative insights into their application across multiple domains in healthcare.
This book presents a collection of high-quality research papers, presented at the Second International Symposium on Bioinformatics and Biomedicine (BioInfoMed'2022).
Accelerating Strategic Changes for Digital Transformation in the Healthcare Industry discusses innovative conceptual frameworks, tools and solutions to tackle the challenges of mitigating major disruption caused by COVID-19 in the healthcare sector and society.
