Nanopore Sequencing: An Introduction PDF Download
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Author: Daniel Branton
Publisher: World Scientific
ISBN: 9813270624
Category : Science
Languages : en
Pages : 217
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Book Description
This is an introductory text and laboratory manual to be used primarily in undergraduate courses. It is also useful for graduate students and research scientists who require an introduction to the theory and methods of nanopore sequencing. The book has clear explanations of the principles of this emerging technology, together with instructional material written by experts that describes how to use a MinION nanopore instrument for sequencing in research or the classroom.At Harvard University the book serves as a textbook and lab manual for a university laboratory course designed to intensify the intellectual experience of incoming undergraduates while exploring biology as a field of concentration. Nanopore sequencing is an ideal topic as a path to encourage students about the range of courses they will take in Biology by pre-emptively addressing the complaint about having to take a course in Physics or Maths while majoring in Biology. The book addresses this complaint by concretely demonstrating the range of topics — from electricity to biochemistry, protein structure, molecular engineering, and informatics — that a student will have to master in subsequent courses if he or she is to become a scientist who truly understands what his or her biology instrument is measuring when investigating biological phenomena.
Author: Daniel Branton
Publisher: World Scientific
ISBN: 9813270624
Category : Science
Languages : en
Pages : 217
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Book Description
This is an introductory text and laboratory manual to be used primarily in undergraduate courses. It is also useful for graduate students and research scientists who require an introduction to the theory and methods of nanopore sequencing. The book has clear explanations of the principles of this emerging technology, together with instructional material written by experts that describes how to use a MinION nanopore instrument for sequencing in research or the classroom.At Harvard University the book serves as a textbook and lab manual for a university laboratory course designed to intensify the intellectual experience of incoming undergraduates while exploring biology as a field of concentration. Nanopore sequencing is an ideal topic as a path to encourage students about the range of courses they will take in Biology by pre-emptively addressing the complaint about having to take a course in Physics or Maths while majoring in Biology. The book addresses this complaint by concretely demonstrating the range of topics — from electricity to biochemistry, protein structure, molecular engineering, and informatics — that a student will have to master in subsequent courses if he or she is to become a scientist who truly understands what his or her biology instrument is measuring when investigating biological phenomena.
Author: Richard Durbin
Publisher: Cambridge University Press
ISBN: 113945739X
Category : Science
Languages : en
Pages : 372
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Book Description
Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it aims to be accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time present the state-of-the-art in this new and highly important field.
Author: Sujay Rakshit
Publisher: Springer
ISBN: 9783319477879
Category : Science
Languages : en
Pages : 0
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Book Description
This book provides insights into the current state of sorghum genomics. It particularly focuses on the tools and strategies employed in genome sequencing and analysis, public and private genomic resources and how all this information is leading to direct outcomes for plant breeders. The advent of affordable whole genome sequencing in combination with existing cereal functional genomics data has enabled the leveraging of the significant novel diversity available in sorghum, the genome of which was fully sequenced in 2009, providing an unmatched resource for the genetic improvement of sorghum and other grass species. Cultivated grain sorghum is a food and feed cereal crop adapted to hot and dry climates, and is a staple for 500 million of the world’s poorest people. Globally, sorghum is also an important source of animal feed and forage, an emerging biofuel crop and model for C4 grasses, particularly genetically complex sugarcane.
Author: Beiwen Zheng
Publisher: Frontiers Media SA
ISBN: 2832541755
Category : Science
Languages : en
Pages : 133
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Book Description
Timely and accurate pathogen diagnosis is critical for effective treatment, outbreak prevention and precise antibiotics administration of infectious diseases, which remains a challenge in clinical practice. Metagenomic next generation sequencing (mNGS) allows researchers and laboratory specialists to analyze the mixed collection of sequencing reads in human clinical samples, including sequences from bacteria, viruses, fungi and parasites besides the host. This new technology shows great potential in pathogen diagnosis. The sensitivity and faster turnaround time are higher than conventional clinical microbiology tests, especially for fastidious and atypical pathogens. However, current mNGS based pathogen detection and diagnosis are facing challenges from both technical and practical aspects. First, sequencing noise can be introduced from different steps such as samples preparation, sequencing, data analysis and reporting algorithm. Also, the interpretation of the results such as detection limits and detection rates are not straightforward to clinicians, compared with traditional culture-based technologies. Such challenges and considerations should be fully addressed before the wild application of mNGS as a pathogen detection tool. Further, these clarifications might help to properly find the best clinical application scenarios, refine the medical treatments, and improve the clinical effectiveness of mNGS in complex infectious diseases. This Research Topic is focused on the application of mNGS for infectious diseases diagnosis and treatment, including experiment process and clinical usage. Its purpose is to level up the clarification of NGS process, to support the development of efficient experiment methods, data interpretation algorithms and to report good examples of related clinical applications. We hope this Research Topic could facilitate the discovery of novel methods and help NGS specialists and clinicians to know mutual concerns and work together to improve the clinical effectiveness of mNGS.
Author: George Jabboure Netto
Publisher: Springer
ISBN: 3319968300
Category : Medical
Languages : en
Pages : 631
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Book Description
The recent advances in genomics are continuing to reshape our approach to diagnostics, prognostics and therapeutics in oncologic and other disorders. A paradigm shift in pharmacogenomics and in the diagnosis of genetic inherited diseases and infectious diseases is unfolding as the result of implementation of next generation genomic technologies. With rapidly growing knowledge and applications driving this revolution, along with significant technologic and cost changes, genomic approaches are becoming the primary methods in many laboratories and for many diseases. As a result, a plethora of clinical genomic applications have been implemented in diagnostic pathology laboratories, and the applications and demands continue to evolve rapidly. This has created a tremendous need for a comprehensive resource on genomic applications in clinical and anatomic pathology. We believe that our current textbook provides such a resource to practicing molecular pathologists, hematopathologists and other subspecialized pathologists, general pathologists, pathology and other trainees, oncologists, geneticists and a growing spectrum of other clinicians. With periodic updates and a sufficiently rapid time from submission to publication, this textbook will be the resource of choice for many professionals and teaching programs. Its focus on genomics parallels the evolution of these technologies as primary methods in the clinical lab. The rapid evolution of genomics and its applications in medicine necessitates the (frequent) updating of this publication. This text will provide a state-of-the art review of the scientific principles underlying next generation genomic technologies and the required bioinformatics approaches to analyses of the daunting amount of data generated by current and emerging genomic technologies. Implementation roadmaps for various clinical assays such as single gene, gene panels, whole exome and whole genome assays will be discussed together with issues related to reporting and the pathologist’s role in interpretation and clinical integration of genomic tests results. Genomic applications for site-specific solid tumors and hematologic neoplasms will be detailed. Genomic applications in pharmacogenomics, inherited genetic diseases and infectious diseases will also be discussed. The latest iteration of practice recommendations or guidelines in genomic testing put forth by stakeholder professional organizations such as the College of American Pathology and the Association for Molecular Pathology, will be discussed as well as regulatory issues and laboratory accreditation related to genomic testing. All chapters will be written by experts in their fields and will include the most up to date scientific and clinical information.
Author: Hannu Eskola
Publisher: Springer
ISBN: 9811051224
Category : Technology & Engineering
Languages : en
Pages : 1168
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Book Description
This volume presents the proceedings of the joint conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC), held in Tampere, Finland, in June 2017. The proceedings present all traditional biomedical engineering areas, but also highlight new emerging fields, such as tissue engineering, bioinformatics, biosensing, neurotechnology, additive manufacturing technologies for medicine and biology, and bioimaging, to name a few. Moreover, it emphasizes the role of education, translational research, and commercialization.
Author: Andrew Arthur Travers
Publisher: Springer Science & Business Media
ISBN: 9780412259906
Category : Medical
Languages : en
Pages : 194
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Book Description
The binding of proteins to DNA and the manipulation of DNA by proteins are crucial aspects of the biological role of DNA in the living cell. This book provides a comprehensive and lucid discussion of the molecular interactions involved.
Author: Hamid D. Ismail
Publisher: CRC Press
ISBN: 1000861708
Category : Computers
Languages : en
Pages : 383
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Book Description
This book contains the latest material in the subject, covering next generation sequencing (NGS) applications and meeting the requirements of a complete semester course. This book digs deep into analysis, providing both concept and practice to satisfy the exact need of researchers seeking to understand and use NGS data reprocessing, genome assembly, variant discovery, gene profiling, epigenetics, and metagenomics. The book does not introduce the analysis pipelines in a black box, but with detailed analysis steps to provide readers with the scientific and technical backgrounds required to enable them to conduct analysis with confidence and understanding. The book is primarily designed as a companion for researchers and graduate students using sequencing data analysis but will also serve as a textbook for teachers and students in biology and bioscience.
Author: Fabio Marchi
Publisher: BoD – Books on Demand
ISBN: 9535135031
Category : Medical
Languages : en
Pages : 330
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Book Description
The large potential of RNA sequencing and other "omics" techniques has contributed to the production of a huge amount of data pursuing to answer many different questions that surround the science's great unknowns. This book presents an overview about powerful and cost-efficient methods for a comprehensive analysis of RNA-Seq data, introducing and revising advanced concepts in data analysis using the most current algorithms. A holistic view about the entire context where transcriptome is inserted is also discussed here encompassing biological areas with remarkable technological advances in the study of systems biology, from microorganisms to precision medicine.
Author: Shilpa Choudhary
Publisher: John Wiley & Sons
ISBN: 1394268807
Category : Computers
Languages : en
Pages : 564
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Book Description
The book provides a comprehensive understanding of cutting-edge research and applications at the intersection of genomics and advanced AI techniques and serves as an essential resource for researchers, bioinformaticians, and practitioners looking to leverage genomics data for AI-driven insights and innovations. The book encompasses a wide range of topics, starting with an introduction to genomics data and its unique characteristics. Each chapter unfolds a unique facet, delving into the collaborative potential and challenges that arise from advanced technologies. It explores image analysis techniques specifically tailored for genomic data. It also delves into deep learning showcasing the power of convolutional neural networks (CNN) and recurrent neural networks (RNN) in genomic image analysis and sequence analysis. Readers will gain practical knowledge on how to apply deep learning techniques to unlock patterns and relationships in genomics data. Transfer learning, a popular technique in AI, is explored in the context of genomics, demonstrating how knowledge from pre-trained models can be effectively transferred to genomic datasets, leading to improved performance and efficiency. Also covered is the domain adaptation techniques specifically tailored for genomics data. The book explores how genomics principles can inspire the design of AI algorithms, including genetic algorithms, evolutionary computing, and genetic programming. Additional chapters delve into the interpretation of genomic data using AI and ML models, including techniques for feature importance and visualization, as well as explainable AI methods that aid in understanding the inner workings of the models. The applications of genomics in AI span various domains, and the book explores AI-driven drug discovery and personalized medicine, genomic data analysis for disease diagnosis and prognosis, and the advancement of AI-enabled genomic research. Lastly, the book addresses the ethical considerations in integrating genomics with AI, computer vision, and machine learning. Audience The book will appeal to biomedical and computer/data scientists and researchers working in genomics and bioinformatics seeking to leverage AI, computer vision, and machine learning for enhanced analysis and discovery; healthcare professionals advancing personalized medicine and patient care; industry leaders and decision-makers in biotechnology, pharmaceuticals, and healthcare industries seeking strategic insights into the integration of genomics and advanced technologies.
