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| amplicon sequencing data analysis: Deep Sequencing Data Analysis Noam Shomron, 2013-07-20 The new genetic revolution is fuelled by Deep Sequencing (or Next Generation Sequencing) apparatuses which, in essence, read billions of nucleotides per reaction. Effectively, when carefully planned, any experimental question which can be translated into reading nucleic acids can be applied.In Deep Sequencing Data Analysis, expert researchers in the field detail methods which are now commonly used to study the multi-facet deep sequencing data field. These included techniques for compressing of data generated, Chromatin Immunoprecipitation (ChIP-seq), and various approaches for the identification of sequence variants. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of necessary materials and reagents, step-by-step, readily reproducible protocols, and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Deep Sequencing Data Analysis seeks to aid scientists in the further understanding of key data analysis procedures for deep sequencing data interpretation. |
| amplicon sequencing data analysis: Introduction to Bioinformatics in Microbiology Henrik Christensen, 2023-11-27 This updated and extended second edition of the textbook introduces the basic concepts of bioinformatics and enhances students' skills in the use of software and tools relevant to microbiology research. It discusses the most relevant methods for analysing data and teaches readers how to draw valid conclusions from the observations obtained. Free software and servers available on the Internet are presented in an updated version of 2023 and more advanced stand-alone software is proposed as a second option. In addition, new tools for microbial genome analysis and new flowcharts that complement the didactic elements have been added. Exercises and training questionnaires are included at the end of each chapter to facilitate learning. The book is aimed at Ph.D. students and advanced undergraduate students in microbiology, biotechnology, and (veterinary) medicine with little or basic knowledge of bioinformatics. |
| amplicon sequencing data analysis: Computational Systems Biology of Cancer Emmanuel Barillot, Laurence Calzone, Philippe Hupe, Jean-Philippe Vert, Andrei Zinovyev, 2012-08-25 The future of cancer research and the development of new therapeutic strategies rely on our ability to convert biological and clinical questions into mathematical models—integrating our knowledge of tumour progression mechanisms with the tsunami of information brought by high-throughput technologies such as microarrays and next-generation sequencing. Offering promising insights on how to defeat cancer, the emerging field of systems biology captures the complexity of biological phenomena using mathematical and computational tools. Novel Approaches to Fighting Cancer Drawn from the authors’ decade-long work in the cancer computational systems biology laboratory at Institut Curie (Paris, France), Computational Systems Biology of Cancer explains how to apply computational systems biology approaches to cancer research. The authors provide proven techniques and tools for cancer bioinformatics and systems biology research. Effectively Use Algorithmic Methods and Bioinformatics Tools in Real Biological Applications Suitable for readers in both the computational and life sciences, this self-contained guide assumes very limited background in biology, mathematics, and computer science. It explores how computational systems biology can help fight cancer in three essential aspects: Categorising tumours Finding new targets Designing improved and tailored therapeutic strategies Each chapter introduces a problem, presents applicable concepts and state-of-the-art methods, describes existing tools, illustrates applications using real cases, lists publically available data and software, and includes references to further reading. Some chapters also contain exercises. Figures from the text and scripts/data for reproducing a breast cancer data analysis are available at www.cancer-systems-biology.net. |
| amplicon sequencing data analysis: Multivariate Analysis of Ecological Data using CANOCO 5 Petr Šmilauer, Jan Lepš, 2014-04-17 An accessible introduction to the theory and practice of multivariate analysis for graduates, researchers and professionals dealing with ecological problems. |
| amplicon sequencing data analysis: Stable Isotope Probing Marc G. Dumont, Marcela Hernández García, 2020-08-13 This book provides definitive methods to perform stable isotope probing (SIP) experiments, covering a wide spectrum of stable isotope techniques used in microbial ecology, such as methods to target and analyze labeled DNA, rRNA, mRNA, protein, and PLFA. Protocols to study stable isotope fractionation by microbial pathways, the analysis of labeled communities with Raman microscopy, Chip-SIM, as well as quantitative SIP (qSIP) and high-resolution SIP (HR-SIP) are also featured. 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 practical, Stable Isotope Probing: Methods and Protocols provides readers with up-to-date protocols ranging from basic to the most sophisticated applications of SIP and will benefit anyone pursuing this exciting area of study. |
| amplicon sequencing data analysis: Oral Biology Gregory J. Seymour, Mary P. Cullinan, Nicholas C.K. Heng, Paul R. Cooper, 2022-11-23 This fully revised new edition explores advances in the prevention and treatment of oral diseases. Beyond the updated chapters, the book delves into regenerative biology, gene editing and the use of CRISPR in oral biology, as well as histone acetylation and deacetylation methods, further reflecting advances in the application of molecular techniques to oral biology. 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 and readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and up-to-date, Oral Biology: Molecular Techniques and Applications, Third Edition serves as an ideal basic resource not only for new researchers but also for experienced scientists wishing to expand their research platform into new areas of this vital field. |
| amplicon sequencing data analysis: Metagenomics Wael N. Hozzein, 2020-03-25 This book is for the students starting their research projects in the field of metagenomics, for researchers interested in the new developments and applications in this field; and for teachers involved in teaching this subject. The book is divided into three sections as indicated from its title, namely; the basics of metagenomics, metagenomic analysis, and applications of metagenomics. It covers the basics of metagenomics from its history and background, to the analysis of metagenomic data as well as its recent applications in different fields. The book contains excellent texts at both the introductory and advanced levels, that describe the latest metagenomic approaches and applications, from sampling to data analysis for taxonomic, environmental, and medical studies. Finally, the publication of this book was an interesting journey for me and I hope the readers will enjoy reading it. |
| amplicon sequencing data analysis: Metagenomic Data Analysis Suparna Mitra, 2023-05-31 This volume describes different sequencing methods, pipelines and tools for metagenome data analyses. Chapters guide readers through quality control of raw sequence data, metagenomics databases for bacterial annotations such Greengenes, SILVA, RDP and GTDB, guide to 16S rRNA microbiome analysis and pipelines such as mothur, DADA2, QIIME2 , whole genome shotgun metagenomics data analyses pipeline using MEGAN and DIAMOND, web service such as PATRIC, RDP, mothur, Kaiju, PhyloPythiaS, MG-RAST, WebMGA, MicrobiomeAnalyst, WHAM!, METAGENassist and MGnify: EBI-Metagenomics, MG-RAST Metagenomics Analysis. Then the chapters inform the readers regarding Third-generation sequencing (TGS) approaches as MinION sequencing and teaches use of Ubuntu Linux Virtual Machine configuration, clinical and environmental resistomes, use of FISH techniques and designing FISH probes, protocols for viral metagenomics, and comprehensive guideline for microbiome analysis using most used R packages. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and methods, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Metagenomic Data Analysis: Methods and Protocols aims to be comprehensive guide for researchers to specialize in the metagenomics field. |
| amplicon sequencing data analysis: Microbial Environmental Genomics (MEG) Francis Martin, Stephane Uroz, 2022-12-15 This volume guides researchers on how to characterize, image rare, and hitherto unknown taxa and their interactions, to identify new functions and biomolecules and to understand how environmental changes condition the activity and the response of the organisms living with us and in our environment. Chapters cover different organism types (i.e., archaea, bacteria, fungi, protest, microfauna and microeukaryotes) and propose detailed protocols to produce high quality DNA, to analyse active microbial communities directly involved in complex interactions or processes through stable isotope probing, to identify and characterize of new functional genes, to image in situ interactions and to apply bioinformatics analysis tools to complex metagenomic or RNAseq sequence data. Written in the successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Microbial Environmental Genomics (MEG): Methods and Protocols, Second Edition aims to serve as a primary research reference for researchers in microbiology working to in the expanding field of molecular ecology and environmental genomics. |
| amplicon sequencing data analysis: Microbiome Analysis Robert G. Beiko, Will Hsiao, John Parkinson, 2018 |
| amplicon sequencing data analysis: Computational Methods for Microbiome Analysis Joao Carlos Setubal, Jens Stoye, Bas E. Dutilh, 2021-02-02 |
| amplicon sequencing data analysis: Statistical Analysis of Microbiome Data with R Yinglin Xia, Jun Sun, Ding-Geng Chen, 2018-10-06 This unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. It includes real-world data from the authors’ research and from the public domain, and discusses the implementation of R for data analysis step by step. The data and R computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter, so that these new methods can be readily applied in their own research. The book also discusses recent developments in statistical modelling and data analysis in microbiome research, as well as the latest advances in next-generation sequencing and big data in methodological development and applications. This timely book will greatly benefit all readers involved in microbiome, ecology and microarray data analyses, as well as other fields of research. |
| amplicon sequencing data analysis: Genome Analysis: Current Procedures and Applications Maria S. Poptsova, 2019-04-28 In recent years there have been tremendous achievements made in DNA sequencing technologies and corresponding innovations in data analysis and bioinformatics that have revolutionized the field of genome analysis.In this book, an impressive array of expert authors highlight and review current advances in genome analysis. This volume provides an invaluable, up-to-date and comprehensive overview of the methods currently employed for next-generation sequencing (NGS) data analysis, highlights their problems and limitations, demonstrates the applications and indicates the developing trends in various fields of genome research. The first part of the book is devoted to the methods and applications that arose from, or were significantly advanced by, NGS technologies: the identification of structural variation from DNA-seq data; whole-transcriptome analysis and discovery of small interfering RNAs (siRNAs) from RNA-seq data; motif finding in promoter regions, enhancer prediction and nucleosome sequence code discovery from ChiP-Seq data; identification of methylation patterns in cancer from MeDIP-seq data; transposon identification in NGS data; metagenomics and metatranscriptomics; NGS of viral communities; and causes and consequences of genome instabilities. The second part is devoted to the field of RNA biology with the last three chapters devoted to computational methods of RNA structure prediction including context-free grammar applications.An essential book for everyone involved in sequence data analysis, next-generation sequencing, high-throughput sequencing, RNA structure prediction, bioinformatics and genome analysis. |
| amplicon sequencing data analysis: Compositional Data Analysis Vera Pawlowsky-Glahn, Antonella Buccianti, 2011-09-19 It is difficult to imagine that the statistical analysis of compositional data has been a major issue of concern for more than 100 years. It is even more difficult to realize that so many statisticians and users of statistics are unaware of the particular problems affecting compositional data, as well as their solutions. The issue of ``spurious correlation'', as the situation was phrased by Karl Pearson back in 1897, affects all data that measures parts of some whole, such as percentages, proportions, ppm and ppb. Such measurements are present in all fields of science, ranging from geology, biology, environmental sciences, forensic sciences, medicine and hydrology. This book presents the history and development of compositional data analysis along with Aitchison's log-ratio approach. Compositional Data Analysis describes the state of the art both in theoretical fields as well as applications in the different fields of science. Key Features: Reflects the state-of-the-art in compositional data analysis. Gives an overview of the historical development of compositional data analysis, as well as basic concepts and procedures. Looks at advances in algebra and calculus on the simplex. Presents applications in different fields of science, including, genomics, ecology, biology, geochemistry, planetology, chemistry and economics. Explores connections to correspondence analysis and the Dirichlet distribution. Presents a summary of three available software packages for compositional data analysis. Supported by an accompanying website featuring R code. Applied scientists working on compositional data analysis in any field of science, both in academia and professionals will benefit from this book, along with graduate students in any field of science working with compositional data. |
| amplicon sequencing data analysis: Methods for Single-Cell and Microbiome Sequencing Data Himel Mallick, Lingling An, Mengjie Chen, Pei Wang, Ni Zhao, 2022-05-31 |
| amplicon sequencing data analysis: Statistical Analysis of Microbiome Data Somnath Datta, Subharup Guha, 2021-10-27 Microbiome research has focused on microorganisms that live within the human body and their effects on health. During the last few years, the quantification of microbiome composition in different environments has been facilitated by the advent of high throughput sequencing technologies. The statistical challenges include computational difficulties due to the high volume of data; normalization and quantification of metabolic abundances, relative taxa and bacterial genes; high-dimensionality; multivariate analysis; the inherently compositional nature of the data; and the proper utilization of complementary phylogenetic information. This has resulted in an explosion of statistical approaches aimed at tackling the unique opportunities and challenges presented by microbiome data. This book provides a comprehensive overview of the state of the art in statistical and informatics technologies for microbiome research. In addition to reviewing demonstrably successful cutting-edge methods, particular emphasis is placed on examples in R that rely on available statistical packages for microbiome data. With its wide-ranging approach, the book benefits not only trained statisticians in academia and industry involved in microbiome research, but also other scientists working in microbiomics and in related fields. |
| amplicon sequencing data analysis: GNU Parallel 2018 Ole Tange, 2018-03-12 GNU Parallel is a UNIX shell tool for running jobs in parallel. Learn how to use GNU Parallel from the developer of GNU Parallel. |
| amplicon sequencing data analysis: Bioinformatic and Statistical Analysis of Microbiome Data Yinglin Xia, Jun Sun, 2023-06-16 This unique book addresses the bioinformatic and statistical modelling and also the analysis of microbiome data using cutting-edge QIIME 2 and R software. It covers core analysis topics in both bioinformatics and statistics, which provides a complete workflow for microbiome data analysis: from raw sequencing reads to community analysis and statistical hypothesis testing. It includes real-world data from the authors’ research and from the public domain, and discusses the implementation of QIIME 2 and R for data analysis step-by-step. The data as well as QIIME 2 and R computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter so that these new methods can be readily applied in their own research. Bioinformatic and Statistical Analysis of Microbiome Data is an ideal book for advanced graduate students and researchers in the clinical, biomedical, agricultural, and environmental fields, as well as those studying bioinformatics, statistics, and big data analysis. |
| amplicon sequencing data analysis: Computational Methods for Next Generation Sequencing Data Analysis Ion Mandoiu, Alexander Zelikovsky, 2016-10-03 Introduces readers to core algorithmic techniques for next-generation sequencing (NGS) data analysis and discusses a wide range of computational techniques and applications This book provides an in-depth survey of some of the recent developments in NGS and discusses mathematical and computational challenges in various application areas of NGS technologies. The 18 chapters featured in this book have been authored by bioinformatics experts and represent the latest work in leading labs actively contributing to the fast-growing field of NGS. The book is divided into four parts: Part I focuses on computing and experimental infrastructure for NGS analysis, including chapters on cloud computing, modular pipelines for metabolic pathway reconstruction, pooling strategies for massive viral sequencing, and high-fidelity sequencing protocols. Part II concentrates on analysis of DNA sequencing data, covering the classic scaffolding problem, detection of genomic variants, including insertions and deletions, and analysis of DNA methylation sequencing data. Part III is devoted to analysis of RNA-seq data. This part discusses algorithms and compares software tools for transcriptome assembly along with methods for detection of alternative splicing and tools for transcriptome quantification and differential expression analysis. Part IV explores computational tools for NGS applications in microbiomics, including a discussion on error correction of NGS reads from viral populations, methods for viral quasispecies reconstruction, and a survey of state-of-the-art methods and future trends in microbiome analysis. Computational Methods for Next Generation Sequencing Data Analysis: Reviews computational techniques such as new combinatorial optimization methods, data structures, high performance computing, machine learning, and inference algorithms Discusses the mathematical and computational challenges in NGS technologies Covers NGS error correction, de novo genome transcriptome assembly, variant detection from NGS reads, and more This text is a reference for biomedical professionals interested in expanding their knowledge of computational techniques for NGS data analysis. The book is also useful for graduate and post-graduate students in bioinformatics. |
| amplicon sequencing data analysis: Marine Metagenomics Takashi Gojobori, Tokio Wada, Takanori Kobayashi, Katsuhiko Mineta, 2019-07-24 This book presents the state-of-art marine metagenome research and explains the method of marine metagenomic analysis in an easy-to-understand manner. Changes in the marine environment due to global warming and pollution have become a major global problem. Maintaining a healthy marine ecosystem requires advanced environmental monitoring and assessment systems. As such, the book presents a novel metagenomic monitoring method, which has been developed for comprehensive analyses of the DNA of microorganisms living in seawater to further our understanding of the dynamics of the marine environment. The book can be used as a primer for new researchers and as a manual on experimental methods. |
| amplicon sequencing data analysis: Big Data Analysis for Bioinformatics and Biomedical Discoveries Shui Qing Ye, 2016-01-13 Demystifies Biomedical and Biological Big Data AnalysesBig Data Analysis for Bioinformatics and Biomedical Discoveries provides a practical guide to the nuts and bolts of Big Data, enabling you to quickly and effectively harness the power of Big Data to make groundbreaking biological discoveries, carry out translational medical research, and implem |
| amplicon sequencing data analysis: RNA-seq Data Analysis Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong, 2014-09-19 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 |
| amplicon sequencing data analysis: Genomics Data Analysis for Crop Improvement Priyanka Anjoy, Kuldeep Kumar, Girish Chandra, Kishor Gaikwad, 2024-02-10 This book addresses complex problems associated with crop improvement programs, using a wide range of programming solutions, for genomics data handling and sustainable agriculture. It describes important concepts in genomics data analysis and sequence-based mapping approaches along with references. The book contains 16 chapters on recent developments in several methods of genomic data analysis for crop improvements and sustainable agriculture, all authored by eminent researchers who are experts in their fields. These chapters focus on applications of a wide range of key bioinformatics topics, including assembly, annotation, and visualization of next-generation sequencing (NGS) data; expression profiles of coding and noncoding RNA; statistical and quantitative genetics; trait-based association analysis, quantitative trait loci (QTL) mapping, and artificial intelligence in genomic studies. Real examples and case studies in the book will come in handy when applying the techniques. The relative scarcity of reference materials covering bioinformatics applications as compared with the readily available books also enhances the utility of this book. The targeted readers of the book are scientists, researchers, and bioinformaticians from genomics and advanced breeding in different areas. The book will appeal to the applied researchers engaged in crop improvements and sustainable agriculture by using bioinformatics tools, students, research project leaders, and practitioners from the various marginal disciplines and interdisciplinary research. |
| amplicon sequencing data analysis: Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research Robert T. Gerlai, 2018-04-24 Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research presents the most exciting molecular and recombinant DNA techniques used in the analysis of brain function and behavior, a critical piece of the puzzle for clinicians, scientists, course instructors and advanced undergraduate and graduate students. Chapters examine neuroinformatics, genetic and neurobehavioral databases and data mining, also providing an analysis of natural genetic variation and principles and applications of forward (mutagenesis) and reverse genetics (gene targeting). In addition, the book discusses gene expression and its role in brain function and behavior, along with ethical issues in the use of animals in genetics testing. Written and edited by leading international experts, this book provides a clear presentation of the frontiers of basic research as well as translationally relevant techniques that are used by neurobehavioral geneticists. - Focuses on new techniques, including electrocorticography, functional mapping, stereo EEG, motor evoked potentials, optical coherence tomography, magnetoencephalography, laser evoked potentials, transmagnetic stimulation, and motor evoked potentials - Presents the most exciting molecular and recombinant DNA techniques used in the analysis of brain function and behavior - Written and edited by leading international experts |
| amplicon sequencing data analysis: Statistical Data Analysis of Microbiomes and Metabolomics Yinglin Xia, Jun Sun, 2022-02-03 Compared with other research fields, both microbiome and metabolomics data are complicated and have some unique characteristics, respectively. Thus, choosing an appropriate statistical test or method is a very important step in the analysis of microbiome and metabolomics data. However, this is still a difficult task for those biomedical researchers without a statistical background and for those biostatisticians who do not have research experiences in these fields. Graduate students studying microbiome and metabolomics; statisticians, working on microbiome and metabolomics projects, either for their own research, or for their collaborative research for experimental design, grant application, and data analysis; and researchers who investigate biomedical and biochemical projects with the microbiome, metabolome, and multi-omics data analysis will benefit from reading this work. |
| amplicon sequencing data analysis: Chronic Lymphocytic Leukemia Sami Malek, 2018 |
| amplicon sequencing data analysis: Microbiome-Host Interactions D. Dhanasekaran, Dhiraj Paul, N. Amaresan, A. Sankaranarayanan, Yogesh S. Shouche, 2021-04-01 Microbiota are a promising and fascinating subject in biology because they integrate the microbial communities in humans, animals, plants, and the environment. In humans, microbiota are associated with the gut, skin, and genital, oral, and respiratory organs. The plant microbial community is referred to as holobiont, and it is influential in the maintenance and health of plants, which themselves play a role in animal health and the environment. The contents of Microbiome-Host Interactions cover all areas as well as new research trends in the fields of plant, animal, human, and environmental microbiome interactions. The book covers microbiota in polar soil environments, in health and disease, in Caenorhabditis elegans, and in agroecosystems, as well as in rice root and actinorhizal root nodules, speleothems, and marine shallow-water hydrothermal vents. Moreover, this book provides comprehensive accounts of advanced next-generation DNA sequencing, metagenomic techniques, high-throughput 16S rRNA sequencing, and understanding nucleic acid sequence data from fungal, algal, viral, bacterial, cyanobacterial, actinobacterial, and archaeal communities using QIIME software (Quantitative Insights into Microbial Ecology). FEATURES Summarizes recent insight in microbiota and host interactions in distinct habitats, including Antarctic, hydrothermal vents, speleothems, oral, skin, gut, feces, reproductive tract, soil, root, root nodules, forests, and mangroves Illustrates the high-throughput amplicon sequencing, computational techniques involved in the microbiota analysis, downstream analysis and visualization, and multivariate analysis commonly used for microbiome analysis Describes probiotics and prebiotics in the composition of the gut microbiota, skin microbiome impact in dermatologic disease prevention, and microbial communities in the reproductive tract of humans and animals Presents information in a reachable way for students, teachers, researchers, microbiologists, computational biologists, and other professionals who are interested in strengthening or enlarging their knowledge about microbiome analysis with next-generation DNA sequencing in the different branches of the sciences |
| amplicon sequencing data analysis: Game Changer-Next Generation Sequencing and Its Impact on Food Microbiology Jennifer Ronholm, Sabah Bidawid, Sandra Torriani, 2018-04-26 Advances in next-generation sequencing technologies (NGS) are revolutionizing the field of food microbiology. Microbial whole genome sequencing (WGS) can provide identification, characterization, and subtyping of pathogens for epidemiological investigations at a level of precision previously not possible. This allows for connections and source attribution to be inferred between related isolates that may be overlooked by traditional techniques. The archiving and global sharing of genome sequences allow for retrospective analysis of virulence genes, antimicrobial resistance markers, mobile genetic elements and other novel genes. The advent of high-throughput 16S rRNA amplicon sequencing, in combination with the advantages offered by massively parallel second-generation sequencing for metagenomics, enable intensive studies on the microbiomes of food products and the impact of foods on the human microbiome. These studies may one day lead to the development of reliable culture-independent methods for food monitoring and surveillance. Similarly, RNA-seq has provided insights into the transcriptomes and hence the behaviour of bacterial pathogens in food, food processing environments, and in interaction with the host at a resolution previously not achieved through the use of microarrays and/or RT-PCR. The vast un-tapped potential applications of NGS along with its rapidly declining costs, give this technology the ability to contribute significantly to consumer protection, global trade facilitation, and increased food safety and security. Despite the rapid advances, challenges remain. How will NGS data be incorporated into our existing global food safety infrastructure? How will massive NGS data be stored and shared globally? What bioinformatics solutions will be used to analyse and optimise these large data sets? This Research Topic discusses recent advances in the field of food microbiology made possible through the use of NGS. |
| amplicon sequencing data analysis: Encyclopedia of Metagenomics Karen E. Nelson, 2015-02-18 Metagenomics has taken off as one of the major cutting-edge fields of research. The field has broad implications for human health and disease, animal production, and environmental health. Metagenomics has opened up a wealth of data, tools, technologies and applications that allow us to access the majority of organisms that we still cannot access in pure culture (an estimated 99% of microbial life). Numerous research groups are developing tools, approaches and applications to deal with this new field, as larger data sets from environments including the human body, the oceans and soils are being generated. See for example the human microbiome initiative (HMP; http://nihroadmap.nih.gov/hmp/) which has become a world-wide effort, and the Global Ocean Sampling (GOS) surveys; http://www.jcvi.org/cms/research/projects/gos/overview/). The number of publications as measured through PubMed that are focused on metagenomics continues to increase. The field of metagenomics continues to evolve with large common datasets available to the scientific community. A concerted effort is needed to collate all this information in a centralized place. By having all the information in an Encyclopedia form, we have an opportunity to gather seminal contributions from the leaders in the field, and at the same time provide this information to a significant number of junior and senior scientists. It is anticipated that the Encyclopedia will also be used by many other groups including, clinicians, undergraduate and graduate level students, as well as ethical and legal groups associated with or interested in the issues surrounding metagenome science. |
| amplicon sequencing data analysis: Manual of Environmental Microbiology Cindy H. Nakatsu, Robert V. Miller, Suresh D. Pillai, 2020-08-11 The single most comprehensive resource for environmental microbiology Environmental microbiology, the study of the roles that microbes play in all planetary environments, is one of the most important areas of scientific research. The Manual of Environmental Microbiology, Fourth Edition, provides comprehensive coverage of this critical and growing field. Thoroughly updated and revised, the Manual is the definitive reference for information on microbes in air, water, and soil and their impact on human health and welfare. Written in accessible, clear prose, the manual covers four broad areas: general methodologies, environmental public health microbiology, microbial ecology, and biodegradation and biotransformation. This wealth of information is divided into 18 sections each containing chapters written by acknowledged topical experts from the international community. Specifically, this new edition of the Manual Contains completely new sections covering microbial risk assessment, quality control, and microbial source tracking Incorporates a summary of the latest methodologies used to study microorganisms in various environments Synthesizes the latest information on the assessment of microbial presence and microbial activity in natural and artificial environments The Manual of Environmental Microbiology is an essential reference for environmental microbiologists, microbial ecologists, and environmental engineers, as well as those interested in human diseases, water and wastewater treatment, and biotechnology. |
| amplicon sequencing data analysis: Computational Molecular Evolution Ziheng Yang, 2006-10-05 This book describes the models, methods and algorithms that are most useful for analysing the ever-increasing supply of molecular sequence data, with a view to furthering our understanding of the evolution of genes and genomes. |
| amplicon sequencing data analysis: A Primer for Computational Biology Shawn T. O'Neil, 2017-12-21 A Primer for Computational Biology aims to provide life scientists and students the skills necessary for research in a data-rich world. The text covers accessing and using remote servers via the command-line, writing programs and pipelines for data analysis, and provides useful vocabulary for interdisciplinary work. The book is broken into three parts: Introduction to Unix/Linux: The command-line is the natural environment of scientific computing, and this part covers a wide range of topics, including logging in, working with files and directories, installing programs and writing scripts, and the powerful pipe operator for file and data manipulation. Programming in Python: Python is both a premier language for learning and a common choice in scientific software development. This part covers the basic concepts in programming (data types, if-statements and loops, functions) via examples of DNA-sequence analysis. This part also covers more complex subjects in software development such as objects and classes, modules, and APIs. Programming in R: The R language specializes in statistical data analysis, and is also quite useful for visualizing large datasets. This third part covers the basics of R as a programming language (data types, if-statements, functions, loops and when to use them) as well as techniques for large-scale, multi-test analyses. Other topics include S3 classes and data visualization with ggplot2. |
| amplicon sequencing data analysis: Computational Modeling of Signaling Networks Lan K. Nguyen, 2023-04-19 This volume focuses on the computational modeling of cell signaling networks and the application of these models and model-based analysis to systems and personalized medicine. Chapters guide readers through various modeling approaches for signaling networks, new methods and techniques that facilitate model development and analysis, and new applications of signaling network modeling towards systems and personalized treatment of cancer. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and methods, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Computational Modeling of Signaling Networks aims to benefit a wide spectrum of readers including researchers from the biological as well as computational systems biology communities. |
| amplicon sequencing data analysis: The New Science of Metagenomics National Research Council, Division on Earth and Life Studies, Board on Life Sciences, Committee on Metagenomics: Challenges and Functional Applications, 2007-06-24 Although we can't usually see them, microbes are essential for every part of human life-indeed all life on Earth. The emerging field of metagenomics offers a new way of exploring the microbial world that will transform modern microbiology and lead to practical applications in medicine, agriculture, alternative energy, environmental remediation, and many others areas. Metagenomics allows researchers to look at the genomes of all of the microbes in an environment at once, providing a meta view of the whole microbial community and the complex interactions within it. It's a quantum leap beyond traditional research techniques that rely on studying-one at a time-the few microbes that can be grown in the laboratory. At the request of the National Science Foundation, five Institutes of the National Institutes of Health, and the Department of Energy, the National Research Council organized a committee to address the current state of metagenomics and identify obstacles current researchers are facing in order to determine how to best support the field and encourage its success. The New Science of Metagenomics recommends the establishment of a Global Metagenomics Initiative comprising a small number of large-scale metagenomics projects as well as many medium- and small-scale projects to advance the technology and develop the standard practices needed to advance the field. The report also addresses database needs, methodological challenges, and the importance of interdisciplinary collaboration in supporting this new field. |
| amplicon sequencing data analysis: Ancient DNA Beth Alison Shapiro, Michael Hofreiter, 2012-01-01 Ancient DNA presents an overview of the many of the protocols commonly used to study ancient DNA. These include laboratory instructions, extraction protocols, laboratory techniques, and suggestions for appropriate analytical approaches to make sense of the sequences obtained. |
| amplicon sequencing data analysis: Integrative Omics Manish Kumar Gupta, Pramod Katara, Sukanta Mondal, Ram Lakhan Singh, 2024-05-03 Integrative Omics: Concepts, Methodology and Applications provides a holistic and integrated view of defining and applying network approaches, integrative tools, and methods to solve problems for the rationalization of genotype to phenotype relationships. The reference includes a range of chapters in a systemic 'step by step' manner, which begins with the basic concepts from Omic to Multi Integrative Omics approaches, followed by their full range of approaches, applications, emerging trends, and future trends. All key areas of Omics are covered including biological databases, sequence alignment, pharmacogenomics, nutrigenomics and microbial omics, integrated omics for Food Science and Identification of genes associated with disease, clinical data integration and data warehousing, translational omics as well as omics technology policy and society research. Integrative Omics: Concepts, Methodology and Applications highlights the recent concepts, methodologies, advancements in technologies and is also well-suited for researchers from both academic and industry background, undergraduate and graduate students who are mainly working in the area of computational systems biology, integrative omics and translational science. The book bridges the gap between biological sciences, physical sciences, computer science, statistics, data science, information technology and mathematics by presenting content specifically dedicated to mathematical models of biological systems. - Provides a holistic, integrated view of a defining and applying network approach, integrative tools, and methods to solve problems for rationalization of genotype to phenotype relationships - Offers an interdisciplinary approach to Databases, data analytics techniques, biological tools, network construction, analysis, modeling, prediction and simulation of biological systems leading to 'translational research', i.e., drug discovery, drug target prediction, and precision medicine - Covers worldwide methods, concepts, databases, and tools used in the construction of integrated pathways |
| amplicon sequencing data analysis: Gene Expression Analysis Nalini Raghavachari, Natàlia Garcia-Reyero, 2018-05-17 This volume provides experimental and bioinformatics approaches related to different aspects of gene expression analysis. Divided in three sections chapters detail wet-lab protocols, bioinformatics approaches, single-cell gene expression, highly multiplexed amplicon sequencing, multi-omics techniques, and targeted sequencing. Written in the highly successful Methods in Molecular Biology series format, 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 cutting-edge, Gene Expression Analysis: Methods and Protocols aims provide useful information to researchers worldwide. |
| amplicon sequencing data analysis: Review of the Department of Energy's Genomics: GTL Program National Research Council, Division on Earth and Life Studies, Board on Life Sciences, Committee on Review of the Department of Energy's Genomics: GTL Program, 2006-04-19 The U.S. Department of Energy (DOE) promotes scientific and technological innovation to advance the national, economic, and energy security of the United States. Recognizing the potential of microorganisms to offer new energy alternatives and remediate environmental contamination, DOE initiated the Genomes to Life program, now called Genomics: GTL, in 2000. The program aims to develop a predictive understanding of microbial systems that can be used to engineer systems for bioenergy production and environmental remediation, and to understand carbon cycling and sequestration. This report provides an evaluation of the program and its infrastructure plan. Overall, the report finds that GTL's research has resulted in and promises to deliver many more scientific advancements that contribute to the achievement of DOE's goals. However, the DOE's current plan for building four independent facilities for protein production, molecular imaging, proteome analysis, and systems biology sequentially may not be the most cost-effective, efficient, and scientifically optimal way to provide this infrastructure. As an alternative, the report suggests constructing up to four institute-like facilities, each of which integrates the capabilities of all four of the originally planned facility types and focuses on one or two of DOE's mission goals. The alternative infrastructure plan could have an especially high ratio of scientific benefit to cost because the need for technology will be directly tied to the biology goals of the program. |
| amplicon sequencing data analysis: Health Informatics Data Analysis Dong Xu, May D. Wang, Fengfeng Zhou, Yunpeng Cai, 2017-09-08 This book provides a comprehensive overview of different biomedical data types, including both clinical and genomic data. Thorough explanations enable readers to explore key topics ranging from electrocardiograms to Big Data health mining and EEG analysis techniques. Each chapter offers a summary of the field and a sample analysis. Also covered are telehealth infrastructure, healthcare information association rules, methods for mass spectrometry imaging, environmental biodiversity, and the global nonlinear fitness function for protein structures. Diseases are addressed in chapters on functional annotation of lncRNAs in human disease, metabolomics characterization of human diseases, disease risk factors using SNP data and Bayesian methods, and imaging informatics for diagnostic imaging marker selection. With the exploding accumulation of Electronic Health Records (EHRs), there is an urgent need for computer-aided analysis of heterogeneous biomedical datasets. Biomedical data is notorious for its diversified scales, dimensions, and volumes, and requires interdisciplinary technologies for visual illustration and digital characterization. Various computer programs and servers have been developed for these purposes by both theoreticians and engineers. This book is an essential reference for investigating the tools available for analyzing heterogeneous biomedical data. It is designed for professionals, researchers, and practitioners in biomedical engineering, diagnostics, medical electronics, and related industries. |
| amplicon sequencing data analysis: The Eukaryotic RNA Exosome John LaCava, Štěpánka Vaňáčová, 2019-11-25 This volume provides a cross-section of RNA exosome research protocols, applied to a diversity of model organisms. Chapters guide readers through methods that e.g. delineate eukaryotic exosomes’ origins in prokaryotes, probe its RNA substrates, adapter complexes and macromolecular interaction of networks, and establish critical structural-function relationships. Written in the highly successful Methods in Molecular Biology series format, 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 cutting-edge, The Eukaryotic RNA Exosome: Methods and Protocols aims to ensure successful results in the further study of this vital field. |
Amplicon: Industrial Computers, Communications & Measurement
Amplicon has over 50 years of distribution and manufacturing experience. We supply Industrial Computing, Data Communications, Measurement & Control, and Engineering Services to …
Amplicon - Wikipedia
In molecular biology, an amplicon is a piece of DNA or RNA that is the source and/or product of amplification or replication events. It can be formed artificially, using various methods including …
What you need to know about amplicons and amplicon …
Feb 12, 2024 · Amplicons are short, specific segments of DNA that have been amplified through PCR, which is a technique that makes millions of copies of a DNA sequence. These amplified …
Amplicon Sequencing: Principle, Steps, Types, Uses, Diagram
Jul 27, 2024 · Amplicon sequencing is a method of sequencing that targets specific genomic regions or conserved regions within the organisms to characterize them and study genetic …
What Is an Amplicon? A Beginner's Guide to PCR and Sequencing
Amplicons are essential in genetic research, providing sufficient quantities of specific gene regions for detailed analysis. Amplification allows researchers to examine gene sequences, …
About us | Amplicon
Amplicon has gained unrivaled experience in the distribution & manufacture of products and systems for Industrial applications, with a history of over 50 years based firmly in engineering.
Amplicon - an overview | ScienceDirect Topics
Amplicon is a dynamic structure within the genome that can result in genomic rearrangements such as deletion, duplication, or higher-order amplification of DNA regions. It outlines the …
Amplicon Sequencing Solutions - Illumina
Amplicon sequencing is a highly targeted approach that enables researchers to analyze genetic variation in specific genomic regions. The ultra-deep sequencing of PCR products (amplicons) …
Amplicon Sequencing Simplified Guide | Paragon Genomics
Amplicon sequencing is a valuable tool for identifying individuals who carry genetic mutations that might be passed on to their offspring. It helps detect known pathogenic variants associated …
Targeted NGS Amplicon Sequencing - IDT
Amplicon sequencing is a method of targeted next generation sequencing (NGS) that enables you to analyze genetic variation in specific genomic regions. This method uses PCR to create …
Amplicon: Industrial Computers, Communications & Measurement
Amplicon has over 50 years of distribution and manufacturing experience. We supply Industrial Computing, Data Communications, Measurement & Control, and Engineering Services to systems …
Amplicon - Wikipedia
In molecular biology, an amplicon is a piece of DNA or RNA that is the source and/or product of amplification or replication events. It can be formed artificially, using various methods including …
What you need to know about amplicons and amplicon sequencing …
Feb 12, 2024 · Amplicons are short, specific segments of DNA that have been amplified through PCR, which is a technique that makes millions of copies of a DNA sequence. These amplified …
Amplicon Sequencing: Principle, Steps, Types, Uses, Diagram
Jul 27, 2024 · Amplicon sequencing is a method of sequencing that targets specific genomic regions or conserved regions within the organisms to characterize them and study genetic …
What Is an Amplicon? A Beginner's Guide to PCR and Sequencing
Amplicons are essential in genetic research, providing sufficient quantities of specific gene regions for detailed analysis. Amplification allows researchers to examine gene sequences, mutations, …
About us | Amplicon
Amplicon has gained unrivaled experience in the distribution & manufacture of products and systems for Industrial applications, with a history of over 50 years based firmly in engineering.
Amplicon - an overview | ScienceDirect Topics
Amplicon is a dynamic structure within the genome that can result in genomic rearrangements such as deletion, duplication, or higher-order amplification of DNA regions. It outlines the intrinsic …
Amplicon Sequencing Solutions - Illumina
Amplicon sequencing is a highly targeted approach that enables researchers to analyze genetic variation in specific genomic regions. The ultra-deep sequencing of PCR products (amplicons) …
Amplicon Sequencing Simplified Guide | Paragon Genomics
Amplicon sequencing is a valuable tool for identifying individuals who carry genetic mutations that might be passed on to their offspring. It helps detect known pathogenic variants associated with …
Targeted NGS Amplicon Sequencing - IDT
Amplicon sequencing is a method of targeted next generation sequencing (NGS) that enables you to analyze genetic variation in specific genomic regions. This method uses PCR to create …
