Insights In Computational Genomics 2022

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Insights In Computational Genomics 2022
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Author : Richard D. Emes
language : en
Publisher: Frontiers Media SA
Release Date : 2023-08-15
Insights In Computational Genomics 2022 written by Richard D. Emes 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 2023-08-15 with Science categories.
This Research Topic is part of the Insights in Frontiers in Genetics series. Other titles in the series are: Genetics, Insights in Evolutionary and Population Genetics: 2022 Genetics, Insights in Livestock Genomics: 2022 Genetics, Insights in Epigenomics and Epigenetics: 2022 Genetics, Insights in Behavioral and Psychiatric Genetics: 2022 Genetics, Insights in Neurogenomics: 2022 Genetics, Insights in Genomic Assay Technology: 2022 Genetics, Insights in Genetics of Common and Rare Diseases: 2022 We are now entering the third decade of the 21st Century, and, especially in the last years, the achievements made by scientists have been exceptional, leading to major advancements in the fast-growing field of Genetics. Frontiers have organized a series of Research Topics to highlight the latest advancements in research across the field of Computational Genomics, with articles from the members of our accomplished Editorial Boards. This editorial initiative of particular relevance, led by Prof Richard Emes, Specialty Chief Editor of the Computational Genomics section, together with Dr. Pirooznia and Dr Zou, focused on new insights, novel developments, current challenges, latest discoveries, recent advances, and future perspectives in the field of Computational Genomics. The Research Topic solicits brief, forward-looking contributions from the editorial board members that describe the state of the art, outlining recent developments and major accomplishments that have been achieved and that need to occur to move the field forward. Authors are encouraged to identify the greatest challenges in the sub-disciplines, and how to address those challenges.
Vetinformatics An Insight For Decoding Livestock Systems Through In Silico Biology
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Author : Jun-Mo Kim
language : en
Publisher: Frontiers Media SA
Release Date : 2023-11-15
Vetinformatics An Insight For Decoding Livestock Systems Through In Silico Biology written by Jun-Mo Kim 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 2023-11-15 with Medical categories.
Multi Omics And Computational Biology In Horticultural Plants From Genotype To Phenotype Volume Ii
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Author : Yunpeng Cao
language : en
Publisher: Frontiers Media SA
Release Date : 2024-02-13
Multi Omics And Computational Biology In Horticultural Plants From Genotype To Phenotype Volume Ii written by Yunpeng Cao 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 2024-02-13 with Science categories.
This Research Topic is part of the article collection series - Multi-omics and Computational Biology in Horticultural Plants: From Genotype to Phenotype. Horticultural plants play an important role for humans by providing herbal medicines, beverages, vegetables, fruits, and ornamentals. High-throughput technologies have revolutionised the time scale and power of detecting insights into physiological changes and biological mechanisms in plants. All sequencing data and tools have helped us better understand the evolutionary histories of horticultural plants and provide genotype and phenotype resources for molecular studies on economically important traits. The integration of these -omics technologies (e.g., genomics, transcriptomics, proteomics, metabolomics, lipidomics, ionomics, and redoxomics) is currently at the forefront of plant research. The genomes of horticultural plants are highly diverse and complex, often with a high degree of heterozygosity and polyploidy. Novel computational methods need to be developed to take advantage of state-of-the-art genomic technologies. As a result, the mining of multi-omics data and the development of new computational biology approaches for the reliable and efficient analysis of plant traits is necessary.
Multi Omics And Computational Biology In Horticultural Plants From Genotype To Phenotype
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Author : Yunpeng Cao
language : en
Publisher: Frontiers Media SA
Release Date : 2023-02-28
Multi Omics And Computational Biology In Horticultural Plants From Genotype To Phenotype written by Yunpeng Cao 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 2023-02-28 with Science categories.
Computational Genomics And Structural Bioinformatics In Personalized Medicines Volume Ii
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Author : George Priya Doss C
language : en
Publisher: Frontiers Media SA
Release Date : 2023-11-06
Computational Genomics And Structural Bioinformatics In Personalized Medicines Volume Ii written by George Priya Doss C 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 2023-11-06 with Medical categories.
Workshops At 18th International Conference On Intelligent Environments Ie2022
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Author : H.H. Alvarez Valera
language : en
Publisher: IOS Press
Release Date : 2022-07-05
Workshops At 18th International Conference On Intelligent Environments Ie2022 written by H.H. Alvarez Valera and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-05 with Computers categories.
The term Intelligent Environments (IEs) refers to physical spaces in which information and communication technologies are interwoven with sensing technologies, innovative user interfaces, robotics and artificial intelligence to create interactive spaces which increase the awareness and enhance the experience of those occupying them. The growing IE community is rooted in academia, but increasingly involves practitioners. It explores the core ideas of IEs as well as the factors necessary to make them a reality, such as energy efficiency, the computational constraints of edge devices and privacy issues. This book presents papers from Workshops held during the 18th International Conference on Intelligent Environments, IE2022, held as a hybrid conference in Biarritz, France, from 20 to 23 June 2022. The conference is now recognized as a major annual venue in the field of IE. It offers a truly international forum for the exchange of information and ideas, and welcomes contributions from all technically active regions of the planet. Included here are 35 papers from the 1st International Workshop on Sentiment Analysis and Emotion Recognition for Social Robots (SENTIRobots’22); 1st International Workshop on Edge AI for Smart Agriculture (EAISA’22); 2nd International Workshop on Artificial Intelligence and Machine Learning for Emerging Topics (ALLEGET’22); 11th International Workshop on the Reliability of Intelligent Environments (WoRIE’22); 2nd International Workshop on Self-Learning in Intelligent Environments (SeLIE’22); 5th Workshop on Citizen Centric Smart Cities Solutions (CCSCS’22); 11th International Workshop on Intelligent Environments Supporting Healthcare and Well-being (WISHWell’22) Exploring some of the latest research and developments in the field, the book will be of interest to all those working with intelligent environments and its associated technologies.
Methods In Computational Genomics
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Author : Nathan Olson
language : en
Publisher: Frontiers Media SA
Release Date : 2024-02-06
Methods In Computational Genomics written by Nathan Olson 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 2024-02-06 with Science categories.
Computational Biology For Stem Cell Research
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Author : Pawan Raghav
language : en
Publisher: Elsevier
Release Date : 2024-01-12
Computational Biology For Stem Cell Research written by Pawan Raghav and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-12 with Science categories.
Computational Biology for Stem Cell Research is an invaluable guide for researchers as they explore HSCs and MSCs in computational biology. With the growing advancement of technology in the field of biomedical sciences, computational approaches have reduced the financial and experimental burden of the experimental process. In the shortest span, it has established itself as an integral component of any biological research activity. HSC informatics (in silico) techniques such as machine learning, genome network analysis, data mining, complex genome structures, docking, system biology, mathematical modeling, programming (R, Python, Perl, etc.) help to analyze, visualize, network constructions, and protein-ligand or protein-protein interactions. This book is aimed at beginners with an exact correlation between the biomedical sciences and in silico computational methods for HSCs transplantation and translational research and provides insights into methods targeting HSCs properties like proliferation, self-renewal, differentiation, and apoptosis. - Modeling Stem Cell Behavior: Explore stem cell behavior through animal models, bridging laboratory studies to real-world clinical allogeneic HSC transplantation (HSCT) scenarios. - Bioinformatics-Driven Translational Research: Navigate a path from bench to bedside with cutting-edge bioinformatics approaches, translating computational insights into tangible advancements in stem cell research and medical applications. - Interdisciplinary Resource: Discover a single comprehensive resource catering to biomedical sciences, life sciences, and chemistry fields, offering essential insights into computational tools vital for modern research.
Omics Based Techniques For Global Food Security
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Author : Sajid Fiaz
language : en
Publisher: John Wiley & Sons
Release Date : 2024-03-20
Omics Based Techniques For Global Food Security written by Sajid Fiaz 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 2024-03-20 with Technology & Engineering categories.
OMICs-based Techniques for Global Food Security Forward-thinking resource discussing how to integrate OMICs and novel genome editing technologies for sustainable crop production OMICS-based Techniques for Global Food Security provides an in-depth understanding of the mechanisms of OMICs techniques for crop improvement, details how OMICs techniques can contribute to identifying genes and traits with economic benefits, and explains how to develop crop plants with improved yield, quality, and resistance to stresses through genome editing technologies, providing evidence on the developments of climate resilient crops via applications of genome editing techniques throughout. The text covers the application of OMICs in crop plants, the integration of bioinformatics and multi-OMICs for precision breeding, de-novo domestication, CRISPR/Cas system for crop improvement, hybrid seed production, transgene free breeding, regulation for genome edit crops, bioinformatics and genome editing, and other topics related to OMICs and genome editing. The text also includes a chapter on global regulations for genome edited crops, and explains how these regulations influence novel plant breeding techniques in their adopted countries. Edited by two highly qualified academics, OMICs-based Techniques for Global Food Security covers topics such as: Crops genome sequencing and their application for crop improvement, and functional characterization of cereal genome The role of OMICs-based technologies in plant sciences and utilization of different multi-OMICs approaches for crop improvement Genomic database and genetic resource of cereals, speed breeding for rapid crop improvement, and evolution of genome editing technologies CRISPR system discovery, history, and future perspective, and CRISPR/Cas system for biotic and abiotic stress resistance in cereals Providing a collection of recent literature focusing on developments and applications of OMICs-based technologies for crop improvement, OMICs-based Techniques for Global Food Security is an important read for plant breeders, molecular biologists, researchers, postdoctoral fellows, and students in disciplines for developing crops with high yield and nutritional potential.
Deep Learning In Genetics And Genomics
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Author : Khalid Raza
language : en
Publisher: Elsevier
Release Date : 2024-11-28
Deep Learning In Genetics And Genomics written by Khalid Raza and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-28 with Science categories.
Deep Learning in Genetics and Genomics vol. 1, Foundations and Applications, the intersection of deep learning and genetics opens up new avenues for advancing our understanding of the genetic code, gene regulation, and the broader genomics landscape. The book not only covers the most up-to-date advancements in the field of deep learning in genetics and genomics, but also a wide spectrum of (sub) topics including medical and clinical genetics, predictive medicine, transcriptomic, and gene expression studies. In 21 chapters Deep Learning in Genetics and Genomics vol. 1, Foundations and Applications describes how AI and DL have become increasingly useful in genetics and genomics research where both play a crucial role by accelerating research, improving the understanding of the human genome, and enabling personalized healthcare. From the fundamentals concepts and practical applications of deep learning algorithms to a wide range of challenging problems from genetics and genomics, Deep Learning in Genetics and Genomics vol. 1, Foundations and Applications creates a better knowledge of the biological and genetics mechanisms behind disease illnesses and improves the forecasting abilities using the different methodologies described. This title offers a unique resource for wider, deeper, and in-depth coverage of recent advancement in deep learning-based approaches in genetics and genomics, helping researchers process and interpret vast amounts of genetic data, identify patterns, and make discoveries that would be challenging or impossible using traditional methods. - Brings together fundamental concepts of genetics, genomics, and deep learning - Includes how to build background of solution methodologies and design of mathematical and logical algorithms - Delves into the intersection of deep learning and genetics, offering a comprehensive exploration of how deep learning techniques can be applied to various aspects of genomics