Computational Methods For Microbiome Analysis Volume 2
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Computational Methods For Microbiome Analysis Volume 2
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Author : Setubal
language : en
Publisher: Frontiers Media SA
Release Date : 2023-01-04
Computational Methods For Microbiome Analysis Volume 2 written by Setubal and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-04 with Science categories.
Microbiome Analysis
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Author : Robert G. Beiko
language : en
Publisher:
Release Date : 2018
Microbiome Analysis written by Robert G. Beiko and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Microbiology categories.
Computational Methods For Microbiome Analysis
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Author : Joao Carlos Setubal
language : en
Publisher: Frontiers Media SA
Release Date : 2021-02-02
Computational Methods For Microbiome Analysis written by Joao Carlos Setubal and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-02 with Science categories.
Statistical And Computational Methods For Microbiome Multi Omics Data
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Author : Himel Mallick
language : en
Publisher: Frontiers Media SA
Release Date : 2020-11-19
Statistical And Computational Methods For Microbiome Multi Omics Data written by Himel Mallick and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-19 with Science categories.
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.
Microbiome And Machine Learning Volume Ii
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Author : Erik Bongcam-Rudloff
language : en
Publisher: Frontiers Media SA
Release Date : 2024-10-24
Microbiome And Machine Learning Volume Ii written by Erik Bongcam-Rudloff and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-24 with Science categories.
Due to the success of Microbiome and Machine Learning, which collected research results and perspectives of researchers working in the field of machine learning (ML) applied to the analysis of microbiome data, we are launching the second volume to collate any new findings in the field to further our understanding and encourage the participation of experts worldwide in the discussion. The success of ML algorithms in the field is substantially due to their capacity to process high-dimensional data and deal with uncertainty and noise. However, to maximize the combinatory potential of these emerging fields (microbiome and ML), researchers have to deal with some aspects that are complex and inherently related to microbiome data. Microbiome data are convoluted, noisy and highly variable, and non-standard analytical methodologies are required to unlock their clinical and scientific potential. Therefore, although a wide range of statistical modelling and ML methods are available, their application is only sometimes optimal when dealing with microbiome data.
Metagenomics For Microbiology
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Author : Jacques Izard
language : en
Publisher: Academic Press
Release Date : 2025-09-01
Metagenomics For Microbiology written by Jacques Izard and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-01 with Science categories.
Metagenomics for Microbiology, Second Edition unveils the intricate and diverse world of microbial communities, emphasizing their critical roles in health, disease, and ecosystem functionality. This updated edition addresses the significant challenges in the field and introduces promising approaches to make metagenomics research more feasible. Through comprehensive revisions and over five new chapters, readers are equipped with the latest research data and analyses, advancing their understanding of microbial principles. Notably, this edition provides a robust foundation for the design and analysis of omics studies, focusing on technological underpinnings and practical applications. It remains an essential resource for characterizing microbial consortia. - Describes updated methodologies with best-practice prescription, from sample to data analysis, for current metagenomic studies - Updates on sample preparation, data production, data clean up, data analysis, statistics, and experimental biology, with accompanying descriptions - Includes a new chapter on long read applications using Nanopore technology - Provides a new chapter on probability distributions that underpin the structure of microbiome ecosystems - Covers bio surveillance of diseases and biodefense
Inflammation Infection And Microbiome In Cancers
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Author : Jun Sun
language : en
Publisher: Springer Nature
Release Date : 2021-04-20
Inflammation Infection And Microbiome In Cancers written by Jun Sun and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-20 with Medical categories.
This book offers a summary and discussion of the advances of inflammation and infection in various cancers. The authors cover the classically known virus infections in cancer, novel roles of other pathogens (e.g. bacteria and fungi), as well as biomarkers for diagnosis and therapy. Further, the chapters highlight the progress of immune therapy, stem cells and the role of the microbiome in the pathophysiology of cancers. Readers will gain insights into complex microbial communities, that inhabit most external human surfaces and play a key role in health and disease. Perturbations of host-microbe interactions often lead to altered host responses that can promote cancer development. Thus, this book highlights emerging roles of the microbiome in pathogenesis of cancers and outcome of therapy. The focus is on mechanistic concepts that underlie the complex relationships between host and microbes. Approaches that can inhibit infection, suppress chronic inflammation and reverse the dysbiosis are discussed, as a means for restoring the balance between host and microbes. This comprehensive work will be beneficial to researchers and students interested in infectious diseases, microbiome, and cancer as well as clinicians and general physiologists.
Statistical Analysis Of Microbiome Data
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Author : Somnath Datta
language : en
Publisher: Springer Nature
Release Date : 2021-10-27
Statistical Analysis Of Microbiome Data written by Somnath Datta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-27 with Medical categories.
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.
Handbook Of Statistical Genomics
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Author : David J. Balding
language : en
Publisher: John Wiley & Sons
Release Date : 2019-07-02
Handbook Of Statistical Genomics written by David J. Balding and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-02 with Science categories.
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.
Bioinformatic And Statistical Analysis Of Microbiome Data
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Author : Yinglin Xia
language : en
Publisher: Springer Nature
Release Date : 2023-06-16
Bioinformatic And Statistical Analysis Of Microbiome Data written by Yinglin Xia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-16 with Science categories.
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.