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Author: Matthias Harbers
Publisher: John Wiley & Sons
ISBN: 352732819X
Category : Science
Languages : en
Pages : 609
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Book Description
Tag-based approaches were originally designed to increase the throughput of capillary sequencing, where concatemers of short sequences were first used in expression profiling. New Next Generation Sequencing methods largely extended the use of tag-based approaches as the tag lengths perfectly match with the short read length of highly parallel sequencing reactions. Tag-based approaches will maintain their important role in life and biomedical science, because longer read lengths are often not required to obtain meaningful data for many applications. Whereas genome re-sequencing and de novo sequencing will benefit from ever more powerful sequencing methods, analytical applications can be performed by tag-based approaches, where the focus shifts from 'sequencing power' to better means of data analysis and visualization for common users. Today Next Generation Sequence data require powerful bioinformatics expertise that has to be converted into easy-to-use data analysis tools. The book's intention is to give an overview on recently developed tag-based approaches along with means of their data analysis together with introductions to Next-Generation Sequencing Methods, protocols and user guides to be an entry for scientists to tag-based approaches for Next Generation Sequencing.
Author: Matthias Harbers
Publisher: John Wiley & Sons
ISBN: 352732819X
Category : Science
Languages : en
Pages : 609
Get Book
Book Description
Tag-based approaches were originally designed to increase the throughput of capillary sequencing, where concatemers of short sequences were first used in expression profiling. New Next Generation Sequencing methods largely extended the use of tag-based approaches as the tag lengths perfectly match with the short read length of highly parallel sequencing reactions. Tag-based approaches will maintain their important role in life and biomedical science, because longer read lengths are often not required to obtain meaningful data for many applications. Whereas genome re-sequencing and de novo sequencing will benefit from ever more powerful sequencing methods, analytical applications can be performed by tag-based approaches, where the focus shifts from 'sequencing power' to better means of data analysis and visualization for common users. Today Next Generation Sequence data require powerful bioinformatics expertise that has to be converted into easy-to-use data analysis tools. The book's intention is to give an overview on recently developed tag-based approaches along with means of their data analysis together with introductions to Next-Generation Sequencing Methods, protocols and user guides to be an entry for scientists to tag-based approaches for Next Generation Sequencing.
Author: Michal Janitz
Publisher: John Wiley & Sons
ISBN: 3527644733
Category : Science
Languages : en
Pages : 281
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Book Description
Written by leading experts from industry and academia, this first single comprehensive resource addresses recent developments in next generation DNA sequencing technology and their impact on genome research, drug discovery and health care. As such, it presents a detailed comparative analysis of commercially available platforms as well as insights into alternative, emerging sequencing techniques. In addition, the book not only covers the principles of DNA sequencing techniques but also social, ethical and commercial aspects, the concept of personalized medicine and a five-year perspective of DNA sequencing.
Author: Jerzy Kulski
Publisher: BoD – Books on Demand
ISBN: 9535122401
Category : Medical
Languages : en
Pages : 466
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Book Description
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: Lee-Jun C. Wong
Publisher: Springer Science & Business Media
ISBN: 1461470013
Category : Medical
Languages : en
Pages : 302
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Book Description
In recent years, owing to the fast development of a variety of sequencing technologies in the post human genome project era, sequencing analysis of a group of target genes, entire protein coding regions of the human genome, and the whole human genome has become a reality. Next Generation Sequencing (NGS) or Massively Parallel Sequencing (MPS) technologies offers a way to screen for mutations in many different genes in a cost and time efficient manner by deep coverage of the target sequences. This novel technology has now been applied to clinical diagnosis of Mendelian disorders of well characterized or undefined diseases, discovery of new disease genes, noninvasive prenatal diagnosis using maternal blood, and population based carrier testing of severe autosomal recessive disorders. This book covers topics of these applications, including potential limitations and expanded application in the future.
Author: Somnath Datta
Publisher: Springer
ISBN: 3319072129
Category : Medical
Languages : en
Pages : 438
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Book Description
Next Generation Sequencing (NGS) is the latest high throughput technology to revolutionize genomic research. NGS generates massive genomic datasets that play a key role in the big data phenomenon that surrounds us today. To extract signals from high-dimensional NGS data and make valid statistical inferences and predictions, novel data analytic and statistical techniques are needed. This book contains 20 chapters written by prominent statisticians working with NGS data. The topics range from basic preprocessing and analysis with NGS data to more complex genomic applications such as copy number variation and isoform expression detection. Research statisticians who want to learn about this growing and exciting area will find this book useful. In addition, many chapters from this book could be included in graduate-level classes in statistical bioinformatics for training future biostatisticians who will be expected to deal with genomic data in basic biomedical research, genomic clinical trials and personalized medicine. About the editors: Somnath Datta is Professor and Vice Chair of Bioinformatics and Biostatistics at the University of Louisville. He is Fellow of the American Statistical Association, Fellow of the Institute of Mathematical Statistics and Elected Member of the International Statistical Institute. He has contributed to numerous research areas in Statistics, Biostatistics and Bioinformatics. Dan Nettleton is Professor and Laurence H. Baker Endowed Chair of Biological Statistics in the Department of Statistics at Iowa State University. He is Fellow of the American Statistical Association and has published research on a variety of topics in statistics, biology and bioinformatics.
Author: Xinkun Wang
Publisher: CRC Press
ISBN: 1482217899
Category : Mathematics
Languages : en
Pages : 258
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Book Description
A Practical Guide to the Highly Dynamic Area of Massively Parallel SequencingThe development of genome and transcriptome sequencing technologies has led to a paradigm shift in life science research and disease diagnosis and prevention. Scientists are now able to see how human diseases and phenotypic changes are connected to DNA mutation, polymorphi
Author: Kuo Ping Chiu
Publisher: Bentham Science Publishers
ISBN: 1681080923
Category : Science
Languages : en
Pages : 160
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Book Description
Nucleic acid sequencing techniques have enabled researchers to determine the exact order of base pairs - and by extension, the information present - in the genome of living organisms. Consequently, our understanding of this information and its link to genetic expression at molecular and cellular levels has lead to rapid advances in biology, genetics, biotechnology and medicine. Next-Generation Sequencing and Sequence Data Analysis is a brief primer on DNA sequencing techniques and methods used to analyze sequence data. Readers will learn about recent concepts and methods in genomics such as sequence library preparation, cluster generation for PCR technologies, PED sequencing, genome assembly, exome sequencing, transcriptomics and more. This book serves as a textbook for students undertaking courses in bioinformatics and laboratory methods in applied biology. General readers interested in learning about DNA sequencing techniques may also benefit from the simple format of information presented in the book.
Author: Raanani P Ed
Publisher: S. Karger AG (Switzerland)
ISBN: 9783805577731
Category : Blood
Languages : en
Pages : 0
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Book Description
Detection of minimal residual disease (MRD) is increasingly used in the management of leukemia patients. A wide variety of methods have been developed and include technologies designed to detect residual malignant cells beyond the sensitivity of conventional approaches such as morphology and banding cytogenetics in leukemia. The choice of the best method depends on the biology of the individual malignancy, i.e. on the determination of specific markers which are useful to differentiate between leukemic cells and normal hematopoiesis in leukemic patients. These markers include leukocyte differentiation antigens, fusion transcripts, transcripts overexpressed by mutated or nonmutated genes, rearranged genes, and individual markers like polymorphic repetitive DNA sequences. The major technologies for MRD detection, their advantages and disadvantages and their clinical applications are discussed in this special issue - from 'bench to bedside'. Providing a comprehensive overview on the significance of MRD in the evaluation, treatment and follow-up of hematologic malignancies, it will be of great value to hematologists, researchers interested in leukemias and lymphomas as well as laboratory technicians.
Author: Wing-Kin Sung
Publisher: CRC Press
ISBN: 1498752985
Category : Computers
Languages : en
Pages : 233
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Book Description
Advances in sequencing technology have allowed scientists to study the human genome in greater depth and on a larger scale than ever before – as many as hundreds of millions of short reads in the course of a few days. But what are the best ways to deal with this flood of data? Algorithms for Next-Generation Sequencing is an invaluable tool for students and researchers in bioinformatics and computational biology, biologists seeking to process and manage the data generated by next-generation sequencing, and as a textbook or a self-study resource. In addition to offering an in-depth description of the algorithms for processing sequencing data, it also presents useful case studies describing the applications of this technology.
Author: Gaurav Sablok
Publisher: Springer
ISBN: 3319171577
Category : Science
Languages : en
Pages : 241
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Book Description
Provides a global view of the recent advances in the biological sciences and the adaption of the pathogen to the host plants revealed using NGS. Molecular Omic’s is now a major driving force to learn the adaption genetics and a great challenge to the scientific community, which can be resolved through the application of the NGS technologies. The availability of complete genome sequences, the respective model species for dicot and monocot plant groups, presents a global opportunity to delineate the identification, function and the expression of the genes, to develop new tools for the identification of the new genes and pathway identification. Genome-wide research tools, resources and approaches such as data mining for structural similarities, gene expression profiling at the DNA and RNA level with rapid increase in available genome sequencing efforts, expressed sequence tags (ESTs), RNA-seq, gene expression profiling, induced deletion mutants and insertional mutants, and gene expression knock-down (gene silencing) studies with RNAi and microRNAs have become integral parts of plant molecular omic’s. Molecular diversity and mutational approaches present the first line of approach to unravel the genetic and molecular basis for several traits, QTL related to disease resistance, which includes host approaches to combat the pathogens and to understand the adaptation of the pathogen to the plant host. Using NGS technologies, understanding of adaptation genetics towards stress tolerance has been correlated to the epigenetics. Naturally occurring allelic variations, genome shuffling and variations induced by chemical or radiation mutagenesis are also being used in functional genomics to elucidate the pathway for the pathogen and stress tolerance and is widely illustrated in demonstrating the identification of the genes responsible for tolerance in plants, bacterial and fungal species.
