Transcriptome Profiling

Author : Mohammad Ajmal Ali,Joongku Lee
Publisher : Elsevier
Page : 530 pages
File Size : 43,5 Mb
Release : 2022-10-07
Category : Science
ISBN : 9780323972314

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Transcriptome Profiling by Mohammad Ajmal Ali,Joongku Lee Pdf

Transcriptome Profiling: Progress and Prospects assists readers in assessing and interpreting a large number of genes, up to and including an entire genome. It provides key insights into the latest tools and techniques used in transcriptomics and its relevant topics which can reveal a global snapshot of the complete RNA component of a cell at a given time. This snapshot, in turn, enables the distinction between different cell types, different disease states, and different time points during development. Transcriptome analysis has been a key area of biological inquiry for decades. The next-generation sequencing technologies have revolutionized transcriptomics by providing opportunities for multidimensional examinations of cellular transcriptomes in which high-throughput expression data are obtained at a single-base resolution. Transcriptome analysis has evolved from the detection of single RNA molecules to large-scale gene expression profiling and genome annotation initiatives. Written by a team of global experts, key topics in Transcriptome Profiling include transcriptome characterization, expression analysis of transcripts, transcriptome and gene regulation, transcriptome profiling and human health, medicinal plants transcriptomics, transcriptomics and genetic engineering, transcriptomics in agriculture, and phylotranscriptomics. Presents recent development in the tools and techniques in transcriptomic characterization Integrates expression analysis of transcripts and gene regulation Includes the application of transcriptomics in human health, genetic engineering and agriculture

Author : Jerzy Kulski
Publisher : BoD – Books on Demand
Page : 466 pages
File Size : 52,9 Mb
Release : 2016-01-14
Category : Medical
ISBN : 9789535122401

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Next Generation Sequencing by Jerzy Kulski Pdf

Next generation sequencing (NGS) has surpassed the traditional Sanger sequencing method to become the main choice for large-scale, genome-wide sequencing studies with ultra-high-throughput production and a huge reduction in costs. The NGS technologies have had enormous impact on the studies of structural and functional genomics in all the life sciences. In this book, Next Generation Sequencing Advances, Applications and Challenges, the sixteen chapters written by experts cover various aspects of NGS including genomics, transcriptomics and methylomics, the sequencing platforms, and the bioinformatics challenges in processing and analysing huge amounts of sequencing data. Following an overview of the evolution of NGS in the brave new world of omics, the book examines the advances and challenges of NGS applications in basic and applied research on microorganisms, agricultural plants and humans. This book is of value to all who are interested in DNA sequencing and bioinformatics across all fields of the life sciences.

Author : Yejun Wang,Ming-an Sun
Publisher : Humana
Page : 238 pages
File Size : 51,9 Mb
Release : 2019-03-20
Category : Medical
ISBN : 1493992643

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Transcriptome Data Analysis by Yejun Wang,Ming-an Sun Pdf

This detailed volume provides comprehensive practical guidance on transcriptome data analysis for a variety of scientific purposes. Beginning with general protocols, the collection moves on to explore protocols for gene characterization analysis with RNA-seq data as well as protocols on several new applications of transcriptome studies. Written for the highly successful Methods in Molecular Biology series, 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 useful, Transcriptome Data Analysis: Methods and Protocols serves as an ideal guide to the expanding purposes of this field of study.

Author : Miroslav Blumenberg
Publisher : BoD – Books on Demand
Page : 110 pages
File Size : 47,9 Mb
Release : 2019-11-20
Category : Medical
ISBN : 9781789843279

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Transcriptome Analysis by Miroslav Blumenberg Pdf

Transcriptome analysis is the study of the transcriptome, of the complete set of RNA transcripts that are produced under specific circumstances, using high-throughput methods. Transcription profiling, which follows total changes in the behavior of a cell, is used throughout diverse areas of biomedical research, including diagnosis of disease, biomarker discovery, risk assessment of new drugs or environmental chemicals, etc. Transcriptome analysis is most commonly used to compare specific pairs of samples, for example, tumor tissue versus its healthy counterpart. In this volume, Dr. Pyo Hong discusses the role of long RNA sequences in transcriptome analysis, Dr. Shinichi describes the next-generation single-cell sequencing technology developed by his team, Dr. Prasanta presents transcriptome analysis applied to rice under various environmental factors, Dr. Xiangyuan addresses the reproductive systems of flowering plants and Dr. Sadovsky compares codon usage in conifers.

Author : Geraldo A. Passos
Publisher : Springer
Page : 348 pages
File Size : 53,7 Mb
Release : 2015-01-27
Category : Medical
ISBN : 9783319119854

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Transcriptomics in Health and Disease by Geraldo A. Passos Pdf

After sequencing the human genome a decade ago, researchers have continued their projects, but now to try to better understand how, and when, genes are expressed in health and disease. Efforts have been concentrated on the measurement of the expression of RNA transcripts. In an analogy to the genome, the term "transcriptome" was created to refer to the complete set of RNAs in a cell type or tissue in a particular situation. Transcriptomics is the science that studies this issue and it is a branch of functional genomics. Transcriptomics in Heath and Disease provides a comprehensive overview of the science of transcriptomics initially in health, focusing on the concept of the transcriptome and the main methods to evaluate it. The authors discuss the concept and use of gene expression signatures and transcriptional biomarkers in normal development and diseased tissues and organs. As the transcriptome changes depending on the pathology, there is also a focus on the variations in the gene expression in different diseases such as autoimmune, inflammation, cancer and infections. This book should be very useful for researchers in molecular biology focusing on gene expression, human genetics, immunology, and genomics.

Author : Irina Vlasova-St. Louis
Publisher : BoD – Books on Demand
Page : 144 pages
File Size : 47,8 Mb
Release : 2021-10-13
Category : Science
ISBN : 9781839626869

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Applications of RNA-Seq in Biology and Medicine by Irina Vlasova-St. Louis Pdf

This book evaluates and comprehensively summarizes the scientific findings that have been achieved through RNA-sequencing (RNA-Seq) technology. RNA-Seq transcriptome profiling of healthy and diseased tissues allows FOR understanding the alterations in cellular phenotypes through the expression of differentially spliced RNA isoforms. Assessment of gene expression by RNA-Seq provides new insight into host response to pathogens, drugs, allergens, and other environmental triggers. RNA-Seq allows us to accurately capture all subtypes of RNA molecules, in any sequenced organism or single-cell type, under different experimental conditions. Merging genomics and transcriptomic profiling provides novel information underlying causative DNA mutations. Combining RNA-Seq with immunoprecipitation and cross-linking techniques is a clever multi-omics strategy assessing transcriptional, post-transcriptional and post-translational levels of gene expression regulation.

Author : Alessandro Cellerino,Michele Sanguanini
Publisher : Springer
Page : 188 pages
File Size : 49,7 Mb
Release : 2018-06-14
Category : Mathematics
ISBN : 9788876426421

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Transcriptome Analysis by Alessandro Cellerino,Michele Sanguanini Pdf

The goal of this book is to be an accessible guide for undergraduate and graduate students to the new field of data-driven biology. Next-generation sequencing technologies have put genome-scale analysis of gene expression into the standard toolbox of experimental biologists. Yet, biological interpretation of high-dimensional data is made difficult by the lack of a common language between experimental and data scientists. By combining theory with practical examples of how specific tools were used to obtain novel insights in biology, particularly in the neurosciences, the book intends to teach students how to design, analyse, and extract biological knowledge from transcriptome sequencing experiments. Undergraduate and graduate students in biomedical and quantitative sciences will benefit from this text as well as academics untrained in the subject.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 53,7 Mb
Release : 2019
Category : Electronic
ISBN : 1789843286

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Transcriptome Analysis by Anonim Pdf

Author : Geraldo A. Passos
Publisher : Springer Nature
Page : 473 pages
File Size : 46,6 Mb
Release : 2022-03-07
Category : Science
ISBN : 9783030878214

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Transcriptomics in Health and Disease by Geraldo A. Passos Pdf

The study of transcriptomics is key to understanding complex diseases. This new edition will build on the foundation of the first edition while incorporating the progress that has been made in the field of transcriptomics in the past six years, including bioinformatics for data analysis. Written by leading experts, chapters address new subjects such as methodological advances in large-scale sequencing, the sequencing of single-cells, and spatial transcriptomics. The new edition will address how transcriptomics may be used in combination with genetic strategies to identify causative genes in monogenic and complex genetic diseases. Coverage will also explore transcriptomics in challenging groups of diseases, such as cancer, inflammation, bacterial infection, and autoimmune diseases. The updated volume will be useful for geneticists, genome biologists, biomedical researchers, molecular biologists, bioinformaticians, and students, among others.

Author : K-H Liang
Publisher : Elsevier
Page : 170 pages
File Size : 54,5 Mb
Release : 2013-07-31
Category : Science
ISBN : 9781908818232

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Bioinformatics for Biomedical Science and Clinical Applications by K-H Liang Pdf

Contemporary biomedical and clinical research is undergoing constant development thanks to the rapid advancement of various high throughput technologies at the DNA, RNA and protein levels. These technologies can generate vast amounts of raw data, making bioinformatics methodologies essential in their use for basic biomedical and clinical applications.Bioinformatics for biomedical science and clinical applications demonstrates what these cutting-edge technologies can do and examines how to design an appropriate study, including how to deal with data and address specific clinical questions. The first two chapters consider Bioinformatics and analysis of the human genome. The subsequent three chapters cover the introduction of Transcriptomics, Proteomics and Systems biomedical science. The remaining chapters move on to critical developments, clinical information and conclude with domain knowledge and adaptivity. A coherent presentation of concepts, methodologies and practical tools that systematically lead to significant discoveries in the biomedical and clinical area Real examples of cutting edge discoveries The introduction of study types and technologies for all the DNA, RNA and protein levels

Author : Poonam Yadav,Guanlin Li,Jose M. Mulet
Publisher : Frontiers Media SA
Page : 197 pages
File Size : 44,9 Mb
Release : 2024-02-21
Category : Science
ISBN : 9782832545058

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Transcriptome & Metabolic Profiling: An Insight Into the Abiotic Stress Response Crosstalk in Plants by Poonam Yadav,Guanlin Li,Jose M. Mulet Pdf

Author : Chang-Hui Shen
Publisher : Elsevier
Page : 590 pages
File Size : 45,7 Mb
Release : 2023-06-29
Category : Science
ISBN : 9780323986090

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Diagnostic Molecular Biology by Chang-Hui Shen Pdf

Diagnostic Molecular Biology, Second Edition describes the fundamentals of molecular biology in a clear, concise manner with each technique explained within its conceptual framework and current applications of clinical laboratory techniques comprehensively covered. This targeted approach covers the principles of molecular biology, including basic knowledge of nucleic acids, proteins and chromosomes; the basic techniques and instrumentations commonly used in the field of molecular biology, including detailed procedures and explanations; and the applications of the principles and techniques currently employed in the clinical laboratory. Topics such as whole exome sequencing, whole genome sequencing, RNA-seq, and ChIP-seq round out the discussion. Fully updated, this new edition adds recent advances in the detection of respiratory virus infections in humans, like influenza, RSV, hAdV, hRV but also corona. This book expands the discussion on NGS application and its role in future precision medicine. Provides explanations on how techniques are used to diagnosis at the molecular level Explains how to use information technology to communicate and assess results in the lab Enhances our understanding of fundamental molecular biology and places techniques in context Places protocols into context with practical applications Includes extra chapters on respiratory viruses (Corona)

Author : Eija Korpelainen,Jarno Tuimala,Panu Somervuo,Mikael Huss,Garry Wong
Publisher : CRC Press
Page : 322 pages
File Size : 50,5 Mb
Release : 2014-09-19
Category : Mathematics
ISBN : 9781466595019

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RNA-seq Data Analysis by Eija Korpelainen,Jarno Tuimala,Panu Somervuo,Mikael Huss,Garry Wong Pdf

The State of the Art in Transcriptome AnalysisRNA sequencing (RNA-seq) data offers unprecedented information about the transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. RNA-seq Data Analysis: A Practical Approach enables researchers to examine differential expression at gene, exon, and transcript le

Author : Institute of Medicine,Board on Health Sciences Policy,Board on Health Care Services,Committee on the Review of Omics-Based Tests for Predicting Patient Outcomes in Clinical Trials
Publisher : National Academies Press
Page : 354 pages
File Size : 55,6 Mb
Release : 2012-09-13
Category : Science
ISBN : 9780309224185

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Evolution of Translational Omics by Institute of Medicine,Board on Health Sciences Policy,Board on Health Care Services,Committee on the Review of Omics-Based Tests for Predicting Patient Outcomes in Clinical Trials Pdf

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.

Author : Ibrokhim Y. Abdurakhmonov
Publisher : BoD – Books on Demand
Page : 190 pages
File Size : 40,8 Mb
Release : 2018-06-20
Category : Medical
ISBN : 9781789232684

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Bioinformatics in the Era of Post Genomics and Big Data by Ibrokhim Y. Abdurakhmonov Pdf

Bioinformatics has evolved significantly in the era of post genomics and big data. Huge advancements were made toward storing, handling, mining, comparing, extracting, clustering and analysis as well as visualization of big macromolecular data using novel computational approaches, machine and deep learning methods, and web-based server tools. There are extensively ongoing world-wide efforts to build the resources for regional hosting, organized and structured access and improving the pre-existing bioinformatics tools to efficiently and meaningfully analyze day-to-day increasing big data. This book intends to provide the reader with updates and progress on genomic data analysis, data modeling and network-based system tools.