High Performance Algorithms For Mass Spectrometry Based Omics

Download High Performance Algorithms For Mass Spectrometry Based Omics full books in PDF, epub, and Kindle. Read online High Performance Algorithms For Mass Spectrometry Based Omics ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

High-Performance Algorithms for Mass Spectrometry-Based Omics

Author : Fahad Saeed
Publisher : Springer Nature
ISBN 13 : 3031019601
Total Pages : 146 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis High-Performance Algorithms for Mass Spectrometry-Based Omics by : Fahad Saeed

Download or read book High-Performance Algorithms for Mass Spectrometry-Based Omics written by Fahad Saeed and published by Springer Nature. This book was released on 2022-09-02 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: To date, processing of high-throughput Mass Spectrometry (MS) data is accomplished using serial algorithms. Developing new methods to process MS data is an active area of research but there is no single strategy that focuses on scalability of MS based methods. Mass spectrometry is a diverse and versatile technology for high-throughput functional characterization of proteins, small molecules and metabolites in complex biological mixtures. In the recent years the technology has rapidly evolved and is now capable of generating increasingly large (multiple tera-bytes per experiment) and complex (multiple species/microbiome/high-dimensional) data sets. This rapid advance in MS instrumentation must be matched by equally fast and rapid evolution of scalable methods developed for analysis of these complex data sets. Ideally, the new methods should leverage the rich heterogeneous computational resources available in a ubiquitous fashion in the form of multicore, manycore, CPU-GPU, CPU-FPGA, and IntelPhi architectures. The absence of these high-performance computing algorithms now hinders scientific advancements for mass spectrometry research. In this book we illustrate the need for high-performance computing algorithms for MS based proteomics, and proteogenomics and showcase our progress in developing these high-performance algorithms.

Lipidomics and Bioactive Lipids: Mass Spectrometry Based Lipid Analysis

Author :
Publisher : Elsevier
ISBN 13 : 0080554881
Total Pages : 432 pages
Book Rating : 4.0/5 (85 download)

DOWNLOAD NOW!

Book Synopsis Lipidomics and Bioactive Lipids: Mass Spectrometry Based Lipid Analysis by :

Download or read book Lipidomics and Bioactive Lipids: Mass Spectrometry Based Lipid Analysis written by and published by Elsevier. This book was released on 2007-11-26 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume in the well-established Methods in Enzymology series features methods for the study of lipids using mass spectrometry techniques. Articles in this volume cover topics such as Qualitative Analysis and Quantitative Assessment of Changes in Neutral Glycerol Lipid Molecular Species within Cells; Glycerophospholipid identification and quantitation by electrospray ionization mass spectrometry; Detection and Quantitation of Eicosanoids via High Performance Liquid Chromatography/Electrospray Ionization Mass Spectrometry; Structure-specific, quantitative methods for "lipidomic" analysis of sphingolipids by tandem mass spectrometry; Analysis of Ubiquinones, Dolichols and Dolichol Diphosphate-Oligosaccharides by Liquid Chromatography Electrospray Ionization Mass Spectrometry; Extraction and Analysis of Sterols in Biological Matrices by High-Performance Liquid Chromatography Electrospray Ionization Mass Spectrometry; The Lipid Maps Initiative in Lipidomics; Basic analytical systems for lipidomics by mass spectrometry in Japan; The European Lipidomics Initiative Enabling technologies; Lipidomic analysis of Signaling Pathways; Bioinformatics for Lipidomics; Mediator Lipidomics: Search Algorithms for Eicosanoids, Resolvins and Protectins; A guide to biochemical systems modeling of sphingolipids for the biochemist; and Quantitation and Standardization of Lipid Internal Standards for Mass Spectroscopy.

Application Of Omics, Ai And Blockchain In Bioinformatics Research

Author : Jeffrey J P Tsai
Publisher : World Scientific
ISBN 13 : 9811203598
Total Pages : 207 pages
Book Rating : 4.8/5 (112 download)

DOWNLOAD NOW!

Book Synopsis Application Of Omics, Ai And Blockchain In Bioinformatics Research by : Jeffrey J P Tsai

Download or read book Application Of Omics, Ai And Blockchain In Bioinformatics Research written by Jeffrey J P Tsai and published by World Scientific. This book was released on 2019-10-14 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increasing availability of omics data and mounting evidence of the usefulness of computational approaches to tackle multi-level data problems in bioinformatics and biomedical research in this post-genomics era, computational biology has been playing an increasingly important role in paving the way as basis for patient-centric healthcare.Two such areas are: (i) implementing AI algorithms supported by biomedical data would deliver significant benefits/improvements towards the goals of precision medicine (ii) blockchain technology will enable medical doctors to securely and privately build personal healthcare records, and identify the right therapeutic treatments and predict the progression of the diseases.A follow-up in the publication of our book Computation Methods with Applications in Bioinformatics Analysis (2017), topics in this volume include: clinical bioinformatics, omics-based data analysis, Artificial Intelligence (AI), blockchain, big data analytics, drug discovery, RNA-seq analysis, tensor decomposition and Boolean network.

Introduction to Parallel Algorithms

Author : C. Xavier
Publisher : John Wiley & Sons
ISBN 13 : 9780471251828
Total Pages : 388 pages
Book Rating : 4.2/5 (518 download)

DOWNLOAD NOW!

Book Synopsis Introduction to Parallel Algorithms by : C. Xavier

Download or read book Introduction to Parallel Algorithms written by C. Xavier and published by John Wiley & Sons. This book was released on 1998-08-05 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel algorithms Made Easy The complexity of today's applications coupled with the widespread use of parallel computing has made the design and analysis of parallel algorithms topics of growing interest. This volume fills a need in the field for an introductory treatment of parallel algorithms-appropriate even at the undergraduate level, where no other textbooks on the subject exist. It features a systematic approach to the latest design techniques, providing analysis and implementation details for each parallel algorithm described in the book. Introduction to Parallel Algorithms covers foundations of parallel computing; parallel algorithms for trees and graphs; parallel algorithms for sorting, searching, and merging; and numerical algorithms. This remarkable book: * Presents basic concepts in clear and simple terms * Incorporates numerous examples to enhance students' understanding * Shows how to develop parallel algorithms for all classical problems in computer science, mathematics, and engineering * Employs extensive illustrations of new design techniques * Discusses parallel algorithms in the context of PRAM model * Includes end-of-chapter exercises and detailed references on parallel computing. This book enables universities to offer parallel algorithm courses at the senior undergraduate level in computer science and engineering. It is also an invaluable text/reference for graduate students, scientists, and engineers in computer science, mathematics, and engineering.

Computational Approaches for Improved Identification, Quantitation, and Interpretation of Mass Spectrometry-based "omics" Data

Download Computational Approaches for Improved Identification, Quantitation, and Interpretation of Mass Spectrometry-based

Author : Nicholas William Kwiecien
Publisher :
ISBN 13 :
Total Pages : 270 pages
Book Rating : 4.:/5 (18 download)

DOWNLOAD NOW!

Book Synopsis Computational Approaches for Improved Identification, Quantitation, and Interpretation of Mass Spectrometry-based "omics" Data by : Nicholas William Kwiecien

Download or read book Computational Approaches for Improved Identification, Quantitation, and Interpretation of Mass Spectrometry-based "omics" Data written by Nicholas William Kwiecien and published by . This book was released on 2016 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research described in this dissertation presents novel computational algorithms and strategies for (1) improving the assignment of molecular identities to analytes profiled by high-resolution gas chromatography-mass spectrometry (GC/MS), (2) performing relative quantitation of large sets of metabolites across expansive sets of mass spectrometry data files, (3) disseminating processed mass spectrometry data and post hoc statistical results in web-based platforms, and (4) monitoring mass spectrometer performance via a web-based data processing and analysis tool. An overview of the aforementioned computational strategies and developed software tools is presented in Chapter 1. A novel algorithm for leveraging accurate mass--afforded by high-resolution GC/MS systems--to discriminate between putative identifications assigned to profiled small molecules is described in Chapter 2. In Chapter 3, an algorithm and accompanying software suite designed to enable untargeted quantitation of small molecules across expansive sets of raw GC/MS data files is described. In Chapter 4, these algorithms are employed as part of a larger study wherein 174 single gene deletion strains of yeast were comprehensively profiled at the proteomic, metabolomic, and lipidomic levels. These multi-omic data were then integrated through various analysis planes in order to define functions of uncharacterized mitochondrial proteins. Chapter 5 details numerous web-based data visualization utilities developed for various projects designed to enable researchers to more rapidly interrogate MS data sets at depth. In Chapter 6, the development of a web-based mass spectrometry data deposition, processing, and visualization tool for automated quality control analysis is described.

Protein Bioinformatics

Author : Frédérique Lisacek
Publisher : Springer Nature
ISBN 13 : 1071640070
Total Pages : 370 pages
Book Rating : 4.0/5 (716 download)

DOWNLOAD NOW!

Book Synopsis Protein Bioinformatics by : Frédérique Lisacek

Download or read book Protein Bioinformatics written by Frédérique Lisacek and published by Springer Nature. This book was released on with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt:

High-performance Reductive Strategies for Big Data from LC-MS/MS Proteomics

Author : Muaaz Gul Awan
Publisher :
ISBN 13 :
Total Pages : 98 pages
Book Rating : 4.:/5 (113 download)

DOWNLOAD NOW!

Book Synopsis High-performance Reductive Strategies for Big Data from LC-MS/MS Proteomics by : Muaaz Gul Awan

Download or read book High-performance Reductive Strategies for Big Data from LC-MS/MS Proteomics written by Muaaz Gul Awan and published by . This book was released on 2019 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mass Spectrometry (MS)-based proteomics utilizes high performance liquid chromatography in tandem with high-throughput mass spectrometers. These experiments can produce MS data sets with astonishing speed and volume that can easily reach peta-scale level, creating storage and computational problems for large-scale systems biology studies. Each spectrum output by a mass spectrometer may consist of thousands of peaks, which must all be processed to deduce the corresponding peptide. However, only a small percentage of peaks in a spectrum are useful for further processing, as most of the peaks are either noise or are not useful. Our experiments have shown that 90 to 95% of the peaks are not required for reliable results. This leads to a lot of redundant processing and causes a hindrance to high-throughput processing of big MS data. The existing pre-processing algorithms for noise-removal or spectra-denoising are limited in their data-reduction capability and are compute intensive; in most cases these pre-processing stages create an additional compute bottleneck in the software pipeline for proteomics. One method of attacking this problem would be by developing data-aware algorithms capable of minimizing the amount of redundant computations. Besides, owing to the continuous increase in the speed and size of proteomics data, high-performance computing solutions need to be introduced. In this study we propose a new data reduction algorithm, which exploits the high noise content of MS/MS data to its advantage and uses a weighted-random- sampling technique to reduce the number of computations drastically. Our results have shown a speed gain of over 100x with respect to the existing tools, while giving comparable accuracy on experimental data. To support rapid adoption and development of high-performance computing solutions in proteomics and big data studies in general, we introduce a template-based strategy for development of optimized GPU-based algorithms for omics data. Our proposed template outlines generic methods to tackle critical GPU-centric bottlenecks and provides details of implementing optimized and scalable GPU algorithms for a given big data problem. We demonstrate the application of this template by implementing a GPU version of our proposed data-reduction algorithm as a case-study. This study also explores the methods of benchmarking novel proteomics algorithms and introduces a highly configurable data simulator to generate user-controlled ground-truth data for assessing new algorithms.

Evolution of Translational Omics

Author : Institute of Medicine
Publisher : National Academies Press
ISBN 13 : 0309224187
Total Pages : 354 pages
Book Rating : 4.3/5 (92 download)

DOWNLOAD NOW!

Book Synopsis Evolution of Translational Omics by : Institute of Medicine

Download or read book Evolution of Translational Omics written by Institute of Medicine and published by National Academies Press. This book was released on 2012-09-13 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.

Fundamentals of Advanced Omics Technologies: From Genes to Metabolites

Author :
Publisher : Newnes
ISBN 13 : 0444626700
Total Pages : 488 pages
Book Rating : 4.4/5 (446 download)

DOWNLOAD NOW!

Book Synopsis Fundamentals of Advanced Omics Technologies: From Genes to Metabolites by :

Download or read book Fundamentals of Advanced Omics Technologies: From Genes to Metabolites written by and published by Newnes. This book was released on 2014-02-14 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamentals of Advanced Omics Technologies: From Genes to Metabolites covers the fundamental aspects of the new instrumental and methodological developments in omics technologies, including those related to genomics, transcriptomics, epigenetics, proteomics and metabolomics, as well as other omics approaches such as glycomics, peptidomics and foodomics. The principal applications are presented in the following complementary volume. The chapters discuss in detail omics technologies, DNA microarray analysis, next-generation sequencing technologies, genome-wide analysis of methylation and histone modifications, emerging nanotechniques in proteomics, imaging mass spectrometry in proteomics, recent quantitative proteomics approaches, and advances in high-resolution NMR-based metabolomics, as well as MS-based non-targeted metabolomics and metabolome analysis by CE-MS, global glycomics analyses, foodomics, and high resolution analytical tools for quantitative peptidomics. Key aspects related to chemometrics, bioinformatics, data treatment, data integration and systems biology, deep-sequencing data analysis, statistical approaches for the analysis of microarray data, the integration of transcriptome and metabolome data and computational approaches for visualization and integration of omics data are also covered. - Covers the latest advances in instrumentation, experimental design, sample preparation, and data analysis - Provides thorough explanations and descriptions of specific omics technologies - Describes advanced tools and methodologies for data pretreatment, storage, curation and analysis, as well as data integration

Plant Metabolomics

Author : Kazuki Saito
Publisher : Springer Science & Business Media
ISBN 13 : 3540297820
Total Pages : 351 pages
Book Rating : 4.5/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Plant Metabolomics by : Kazuki Saito

Download or read book Plant Metabolomics written by Kazuki Saito and published by Springer Science & Business Media. This book was released on 2006-06-29 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Metabolomics – which deals with all metabolites of an organism – is a rapidly-emerging sector of post-genome research fields. It plays significant roles in a variety of fields from medicine to agriculture and holds a fundamental position in functional genomics studies and their application in plant biotechnology. This volume comprehensively covers plant metabolomics for the first time. The chapters offer cutting-edge information on analytical technology, bioinformatics and applications. They were all written by leading researchers who have been directly involved in plant metabolomics research throughout the world. Up-to-date information and future developments are described, thereby producing a volume which is a landmark of plant metabolomics research and a beneficial guideline to graduate students and researchers in academia, industry, and technology transfer organizations in all plant science fields.

Proteome Informatics

Author : Conrad Bessant
Publisher : Royal Society of Chemistry
ISBN 13 : 1782626735
Total Pages : 429 pages
Book Rating : 4.7/5 (826 download)

DOWNLOAD NOW!

Book Synopsis Proteome Informatics by : Conrad Bessant

Download or read book Proteome Informatics written by Conrad Bessant and published by Royal Society of Chemistry. This book was released on 2016-11-15 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of proteomics has developed rapidly over the past decade nurturing the need for a detailed introduction to the various informatics topics that underpin the main liquid chromatography tandem mass spectrometry (LC-MS/MS) protocols used for protein identification and quantitation. Proteins are a key component of any biological system, and monitoring proteins using LC-MS/MS proteomics is becoming commonplace in a wide range of biological research areas. However, many researchers treat proteomics software tools as a black box, drawing conclusions from the output of such tools without considering the nuances and limitations of the algorithms on which such software is based. This book seeks to address this situation by bringing together world experts to provide clear explanations of the key algorithms, workflows and analysis frameworks, so that users of proteomics data can be confident that they are using appropriate tools in suitable ways.

Comprehensive Foodomics

Author :
Publisher : Elsevier
ISBN 13 : 0128163968
Total Pages : 2444 pages
Book Rating : 4.1/5 (281 download)

DOWNLOAD NOW!

Book Synopsis Comprehensive Foodomics by :

Download or read book Comprehensive Foodomics written by and published by Elsevier. This book was released on 2020-11-12 with total page 2444 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive Foodomics, Three Volume Set offers a definitive collection of over 150 articles that provide researchers with innovative answers to crucial questions relating to food quality, safety and its vital and complex links to our health. Topics covered include transcriptomics, proteomics, metabolomics, genomics, green foodomics, epigenetics and noncoding RNA, food safety, food bioactivity and health, food quality and traceability, data treatment and systems biology. Logically structured into 10 focused sections, each article is authored by world leading scientists who cover the whole breadth of Omics and related technologies, including the latest advances and applications. By bringing all this information together in an easily navigable reference, food scientists and nutritionists in both academia and industry will find it the perfect, modern day compendium for frequent reference. List of sections and Section Editors: Genomics - Olivia McAuliffe, Dept of Food Biosciences, Moorepark, Fermoy, Co. Cork, Ireland Epigenetics & Noncoding RNA - Juan Cui, Department of Computer Science & Engineering, University of Nebraska-Lincoln, Lincoln, NE Transcriptomics - Robert Henry, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, Australia Proteomics - Jens Brockmeyer, Institute of Biochemistry and Technical Biochemistry, University Stuttgart, Germany Metabolomics - Philippe Schmitt-Kopplin, Research Unit Analytical BioGeoChemistry, Neuherberg, Germany Omics data treatment, System Biology and Foodomics - Carlos Leon Canseco, Visiting Professor, Biomedical Engineering, Universidad Carlos III de Madrid Green Foodomics - Elena Ibanez, Foodomics Lab, CIAL, CSIC, Madrid, Spain Food safety and Foodomics - Djuro Josic, Professor Medicine (Research) Warren Alpert Medical School, Brown University, Providence, RI, USA & Sandra Kraljevic Pavelic, University of Rijeka, Department of Biotechnology, Rijeka, Croatia Food Quality, Traceability and Foodomics - Daniel Cozzolino, Centre for Nutrition and Food Sciences, The University of Queensland, Queensland, Australia Food Bioactivity, Health and Foodomics - Miguel Herrero, Department of Bioactivity and Food Analysis, Foodomics Lab, CIAL, CSIC, Madrid, Spain Brings all relevant foodomics information together in one place, offering readers a ‘one-stop,’ comprehensive resource for access to a wealth of information Includes articles written by academics and practitioners from various fields and regions Provides an ideal resource for students, researchers and professionals who need to find relevant information quickly and easily Includes content from high quality authors from across the globe

Foodomics

Author : Jorge Barros-Velázquez
Publisher : Royal Society of Chemistry
ISBN 13 : 1788018842
Total Pages : 515 pages
Book Rating : 4.7/5 (88 download)

DOWNLOAD NOW!

Book Synopsis Foodomics by : Jorge Barros-Velázquez

Download or read book Foodomics written by Jorge Barros-Velázquez and published by Royal Society of Chemistry. This book was released on 2021-03-31 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents the most updated information on the main methodologies and technological platforms involved in foodomics.

Insight into plant spatial omics: Mass spectrometry imaging

Author : Xiaodong Wang
Publisher : Frontiers Media SA
ISBN 13 : 2832534031
Total Pages : 114 pages
Book Rating : 4.8/5 (325 download)

DOWNLOAD NOW!

Book Synopsis Insight into plant spatial omics: Mass spectrometry imaging by : Xiaodong Wang

Download or read book Insight into plant spatial omics: Mass spectrometry imaging written by Xiaodong Wang and published by Frontiers Media SA. This book was released on 2023-09-19 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning Methods for Multi-Omics Data Integration

Author : Abedalrhman Alkhateeb
Publisher : Springer Nature
ISBN 13 : 303136502X
Total Pages : 171 pages
Book Rating : 4.0/5 (313 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning Methods for Multi-Omics Data Integration by : Abedalrhman Alkhateeb

Download or read book Machine Learning Methods for Multi-Omics Data Integration written by Abedalrhman Alkhateeb and published by Springer Nature. This book was released on 2023-12-15 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Large-scale data sets for multiple omics platforms, including genomics, transcriptomics, proteomics, and metabolomics, have become more accessible and cost-effective over time. Integrating multi-omics data has become increasingly important in many research fields, such as bioinformatics, genomics, and systems biology. This integration allows researchers to understand complex interactions between biological molecules and pathways. It enables us to comprehensively understand complex biological systems, leading to new insights into disease mechanisms, drug discovery, and personalized medicine. Still, integrating various heterogeneous data types into a single learning model also comes with challenges. In this regard, learning algorithms have been vital in analyzing and integrating these large-scale heterogeneous data sets into one learning model. This book overviews the latest multi-omics technologies, machine learning techniques for data integration, and multi-omics databases for validation. It covers different types of learning for supervised and unsupervised learning techniques, including standard classifiers, deep learning, tensor factorization, ensemble learning, and clustering, among others. The book categorizes different levels of integrations, ranging from early, middle, or late-stage among multi-view models. The underlying models target different objectives, such as knowledge discovery, pattern recognition, disease-related biomarkers, and validation tools for multi-omics data. Finally, the book emphasizes practical applications and case studies, making it an essential resource for researchers and practitioners looking to apply machine learning to their multi-omics data sets. The book covers data preprocessing, feature selection, and model evaluation, providing readers with a practical guide to implementing machine learning techniques on various multi-omics data sets.

Metabolomics in Health and Disease Biology

Author :
Publisher : Elsevier
ISBN 13 : 0443137269
Total Pages : 248 pages
Book Rating : 4.4/5 (431 download)

DOWNLOAD NOW!

Book Synopsis Metabolomics in Health and Disease Biology by :

Download or read book Metabolomics in Health and Disease Biology written by and published by Elsevier. This book was released on 2024-02-26 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Metabolomics in Health and Disease Biology, Volume 104 covers this rapidly emerging field that aims for metabolic phenotyping and understanding the blueprint of metabolic pathways under various health and disease conditions by comprehensive analysis of metabolites. Chapters in this new release include Metabolomics approaches: Biomarkers to Disease mechanisms, Metabolomics in sleep disorders, Metabolomics in predicting the hallmark of Cancer Metabolism, Spectroscopic based rapid metabolic fingerprinting approaches for Cancer diagnosis, Lipidomics in assessing the health of osteoarthritis, Metabolomics Applications in Type 2 Diabetes mellitus, Metabolomics of Diabetic retinopathy, Metabolomics in Neurodegenerative disorders- Parkinson's disease, and Metabolomic of Neurodegenerative disorder: Alzheimer's Disease. - Presents crucial reviews from selected experts in the field of metabolomics, with cross-disciplinary contributions - Provides the latest insights into our understanding of diseases using metabolomics-based approaches - Includes graphical material for metabolomics application that provide useful information for ease of reading of audience

Epitranscriptomics

Author : Stefan Jurga
Publisher : Springer Nature
ISBN 13 : 3030716120
Total Pages : 632 pages
Book Rating : 4.0/5 (37 download)

DOWNLOAD NOW!

Book Synopsis Epitranscriptomics by : Stefan Jurga

Download or read book Epitranscriptomics written by Stefan Jurga and published by Springer Nature. This book was released on 2021-07-28 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews a novel and exciting field of cellular and molecular biology called epitranscriptomics, which focuses on changes in an organism’s cells resulting from the posttranscriptional modification of cellular RNA. RNA-binding proteins (RBPs) play a crucial role in these posttranscriptional modifications and also support several cellular processes necessary for maintaining RNA homeostasis. Exploring the mechanisms underlying RNA modifications and RBP function is an emerging area of biomedical research, taking the study of gene regulation a step beyond epigenetics. This book reveals that the RNA molecule is not just an information-carrying molecule with some secondary structures. Accordingly, how RNA is modified, regulated, packaged, and controlled is an important aspect. Leading experts address questions such as where the over 170 distinct posttranscriptional RNA modifications are located on the genome, what percentage of mRNAs and noncoding RNAs these modifications include, and how an RNA modification impacts a person’s biology. In closing, the book reviews the role of RNA modifications and RBPs in a variety of diseases and their pathogenesis. Addressing some of the most exciting challenges in epitranscriptomics, this book provides a valuable and engaging resource for researchers in academia and industry studying the phenomena of RNA modification.