Download or read book Computational methods for microbiome analysis volume 2 written by Setubal and published by Frontiers Media SA. This book was released on 2023-01-04 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computational Methods for Microbiome Analysis written by Joao Carlos Setubal and published by Frontiers Media SA. This book was released on 2021-02-02 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistical and Computational Methods for Microbiome Multi Omics Data written by Himel Mallick and published by Frontiers Media SA. This book was released on 2020-11-19 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Download or read book Microbiome Analysis written by Robert G. Beiko and published by . This book was released on 2018 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistical Analysis of Microbiome Data written by Somnath Datta and published by Springer Nature. This book was released on 2021-10-27 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Microbiome Analysis written by Robert G. Beiko and published by Humana. This book was released on 2019-10-23 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume aims to capture the entire microbiome analysis pipeline, sample collection, quality assurance, and computational analysis of the resulting data. Chapters detail several example applications of microbiome research, and the protocols described in this book are complemented with short perspectives about the history, current state, and future directions of protocols in microbiomics. 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, Microbiome Analysis: Methods and Protocols aims to ensure successful results in the further study of this vital field.
Download or read book Statistical Analysis of Microbiome Data with R written by Yinglin Xia and published by Springer. This book was released on 2018-10-06 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Metagenomics for Microbiology written by Jacques Izard and published by Academic Press. This book was released on 2014-11-07 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Concisely discussing the application of high throughput analysis to move forward our understanding of microbial principles, Metagenomics for Microbiology provides a solid base for the design and analysis of omics studies for the characterization of microbial consortia. The intended audience includes clinical and environmental microbiologists, molecular biologists, infectious disease experts, statisticians, biostatisticians, and public health scientists. This book focuses on the technological underpinnings of metagenomic approaches and their conceptual and practical applications. With the next-generation genomic sequencing revolution increasingly permitting researchers to decipher the coding information of the microbes living with us, we now have a unique capacity to compare multiple sites within individuals and at higher resolution and greater throughput than hitherto possible. The recent articulation of this paradigm points to unique possibilities for investigation of our dynamic relationship with these cellular communities, and excitingly the probing of their therapeutic potential in disease prevention or treatment of the future. - Expertly describes the latest metagenomic methodologies and best-practices, from sample collection to data analysis for taxonomic, whole shotgun metagenomic, and metatranscriptomic studies - Includes clear-headed pointers and quick starts to direct research efforts and increase study efficacy, eschewing ponderous prose - Presented topics include sample collection and preparation, data generation and quality control, third generation sequencing, advances in computational analyses of shotgun metagenomic sequence data, taxonomic profiling of shotgun data, hypothesis testing, and mathematical and computational analysis of longitudinal data and time series. Past-examples and prospects are provided to contextualize the applications.
Download or read book Computational Methods With Applications In Bioinformatics Analysis written by Jeffrey J P Tsai and published by World Scientific. This book was released on 2017-06-09 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms.The salient feature of this book is that it highlights eight types of computational techniques to tackle different biomedical applications. These techniques include unsupervised learning algorithms, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations and enzyme kinetics.The unique volume will be a useful reference material and an inspirational read for advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals.
Download or read book Computational Methods for Comparative Analysis of Microbiome Related to Human Diseases written by Wontack Han and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Microbial organisms play key roles in the human hosts' health and diseases. Recent advancements in genome sequencing have resulted in a large collection of sequencing data of microbial species and have expanded the research of microbiome from the characterization of microbiomes' community associated with different environments/hosts to the applications related with human health and diseases. Computational methods have been developed to identify microbial markers from microbiome datasets derived from cohorts of patients with different diseases. Predictive models based on these markers (features) have been built for discriminating host phenotypes such as disease vs healthy and cancer immunotherapy responder vs non-responder. In this dissertation, I developed computational methods for comparative analysis of metagenomes from raw sequencing data and developed Machine Learning (ML) approaches to build predictive models for host phenotype prediction based on identified microbial markers. First, I implemented the subtractive assembly method(called CoSA) for comparative metagenomics that directly detects differential reads between two groups of metagenomes, from which microbial marker genes could be assembled and characterized. Secondly, I reported the curation of a repository of microbial marker genes and predictive models built from these markers for microbiome-based prediction of host phenotype, and a computational pipeline(named Mi2P) for using the repository. Lastly, I exploited locality sensitive hashing(LSH) as clustering algorithm to group billions of k-mers having similar abundance profiles across multiple samples into k-mers co-abundance groups (kCAGs) to improve the characterization of differential microbial markers. The overall goal of my research is to develop fast and efficient approaches for identifying microbial marker genes, and make them available for building predictive models for microbiome-based host phenotype predictions.
Download or read book Handbook of Statistical Genomics written by David J. Balding and published by John Wiley & Sons. This book was released on 2019-07-02 with total page 1224 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for advanced graduate students, early-career researchers and new entrants to the field. It introduces new and updated information on developments that have occurred since the 3rd edition. Widely regarded as the reference work in the field, it features new chapters focusing on statistical aspects of data generated by new sequencing technologies, including sequence-based functional assays. It expands on previous coverage of the many processes between genotype and phenotype, including gene expression and epigenetics, as well as metabolomics. It also examines population genetics and evolutionary models and inference, with new chapters on the multi-species coalescent, admixture and ancient DNA, as well as genetic association studies including causal analyses and variant interpretation. The Handbook of Statistical Genomics focuses on explaining the main ideas, analysis methods and algorithms, citing key recent and historic literature for further details and references. It also includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between chapters, tying the different areas together. With heavy use of up-to-date examples and references to web-based resources, this continues to be a must-have reference in a vital area of research. Provides much-needed, timely coverage of new developments in this expanding area of study Numerous, brand new chapters, for example covering bacterial genomics, microbiome and metagenomics Detailed coverage of application areas, with chapters on plant breeding, conservation and forensic genetics Extensive coverage of human genetic epidemiology, including ethical aspects Edited by one of the leading experts in the field along with rising stars as his co-editors Chapter authors are world-renowned experts in the field, and newly emerging leaders. The Handbook of Statistical Genomics is an excellent introductory text for advanced graduate students and early-career researchers involved in statistical genetics.
Download or read book Computational Methods for the Analysis of Genomic Data and Biological Processes written by Francisco A. Gómez Vela and published by MDPI. This book was released on 2021-02-05 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent decades, new technologies have made remarkable progress in helping to understand biological systems. Rapid advances in genomic profiling techniques such as microarrays or high-performance sequencing have brought new opportunities and challenges in the fields of computational biology and bioinformatics. Such genetic sequencing techniques allow large amounts of data to be produced, whose analysis and cross-integration could provide a complete view of organisms. As a result, it is necessary to develop new techniques and algorithms that carry out an analysis of these data with reliability and efficiency. This Special Issue collected the latest advances in the field of computational methods for the analysis of gene expression data, and, in particular, the modeling of biological processes. Here we present eleven works selected to be published in this Special Issue due to their interest, quality, and originality.
Download or read book Bioinformatic and Statistical Analysis of Microbiome Data written by Yinglin Xia and published by Springer Nature. This book was released on 2023-06-16 with total page 717 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Microbiomes of Soils Plants and Animals written by Rachael E. Antwis and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: A comparative, holistic synthesis of microbiome research, spanning soil, plant, animal and human hosts.
Download or read book Metagenomic Systems Biology written by Shailza Singh and published by Springer Nature. This book was released on 2020-12-07 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book serves as an amalgamation of knowledge and principles used in the area of systems and synthetic biology, and targets inter-disciplinary research groups. The readers from diversified areas would be benefited by the valuable resources and information available in one book. Microbiome projects with efficient data handling can fuel progress in the area of microbial synthetic biology by providing a ready to use plug and play chassis. Advances in gene editing technology such as the use of tailor made synthetic transcription factors will further enhance the availability of synthetic devices to be applied in the fields of environment, agriculture and health. The different chapters of the book reviews a broad range of topics, including food microbiome in ecology, use of microbiome in personalized medicine, machine learning in biomedicine. The book also describes ways to harness and exploit the incredible amounts of genomic data. The book is not only limited to medicine but also caters to the needs of environmentalists, biochemical engineers etc. It will be of interest to advanced students and researchers in life sciences, computational biology, microbiology and other inter-disciplinary areas.
Download or read book Computational Methods for Studying Microbial Community Interactions written by Tony Jong Heng Lam and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Microbiomes are dynamic communities of microorganisms, and their influence can have wide ranging impact on ecological, environmental, and human health. Over the past decades, advancements in genome sequencing have fueled the rapid expansion of genomic data availability and broadened our understanding of the biological systems around us. Despite these advancements, many aspects of microbial dynamics and community assembly still eludes researchers. In this dissertation, I explore and introduce novel computational methods to study microbial interactions, diversity, and community assembly dynamics. In the first facet of dissertation, I introduce a novel method developed to track bacterial strains via the use of innate bacterial CRIPSR-Cas systems and apply its application to track successful engraftment of fecal microbiota transplantations. Secondly, utilizing genome scale metabolic models to model metabolic networks, this work also explores the inference of microbial metabolic interactions through the introduction of phylogenically adjusted metabolic interaction indices to correct for phylogenetic confounding factors and identify metabolically cooperative and competitive members of microbiomes. Lastly, utilizing microbiome co-occurrence networks, I explore the meta-analysis of metagenomic datasets spanning various healthy and disease states to better understand microbiome community dynamics between phenotype associated metagenomes. This work provides an important step in better understanding of how members of the microbiome interact with each other and their hosts, and will better enable future efforts in the study of microbial assembly dynamics and their influence on health and disease.
Download or read book Microbial Natural Products Chemistry written by Taícia Pacheco Fill and published by Springer Nature. This book was released on 2023-10-16 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the importance of omics strategies and de-replication analysis to unveil new molecules from microbial sources with diverse chemical structures and biological functions. Chapters address metabolomics strategies, which will lead to a better understanding of the chemical interactions between microorganisms, plant-microorganisms, and virus-microorganisms. Authors also describe analytical tools used in microbial metabolomics and natural products discovery, in addition to describing a step-by-step protocol to identify and annotate metabolites using various databases and online platforms. The book presents the newest research, tools, and protocols for chemists, biochemists, bio-and chemical engineers, and biotechnologists, among others.
