Plant Omics / CABI Biotechnology Series (ePub)
Advances in Big Data Biology
(Sprache: Englisch)
This book provides a comprehensive overview of plant omics and big data in the fields of plant and crop biology. It discusses each omics layer individually, including genomics, transcriptomics, proteomics, and covers model and non-model species. In a...
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Produktinformationen zu „Plant Omics / CABI Biotechnology Series (ePub)“
This book provides a comprehensive overview of plant omics and big data in the fields of plant and crop biology. It discusses each omics layer individually, including genomics, transcriptomics, proteomics, and covers model and non-model species. In a section on advanced topics, it considers developments in each specialized domain, including genome editing and enhanced breeding strategies (such as genomic selection and high-throughput phenotyping), with the aim of providing tools to help tackle global food security issues. The importance of online resources in big data biology are highlighted in a section summarizing both wet- and dry-biological portals. This section introduces biological resources, datasets, online bioinformatics tools and approaches that are in the public domain.
This title:
reviews each omics layer individually;
focuses on new advanced research domains and technology; and
summarizes publicly available experimental and informatics resources.
This book is for students, engineers, researchers and academics in plant biology, genetics, biotechnology and bioinformatics.
This title:
reviews each omics layer individually;
focuses on new advanced research domains and technology; and
summarizes publicly available experimental and informatics resources.
This book is for students, engineers, researchers and academics in plant biology, genetics, biotechnology and bioinformatics.
Autoren-Porträt
Hajime Ohyanagi (Edited By) Dr. Hajime Ohyanagi is the director of JCRAC Data Center at National Center for Global Health and Medicine, Japan. He has received a BSc and a MS from University of Tokyo and PhD from SOKENDAI (The Graduate University for Advanced Studies). He has been working on plant omics (genomics, transcriptomics, and proteomics) and plant domestication. His current project is focusing on the molecular evolution of human pathogenic virus, and the general clinical bioinformatics.Eiji Yamamoto (Edited By) Dr. Eiji Yamamoto received a BSc from Osaka Prefecture University, Japan, and MSc and PhD degrees in agriculture from Nagoya University, Japan. He worked as a Researcher at National Agriculture and Food Research Organization, Japan and at Kazusa DNA Research Institute, Japan before recruited as a Project Lecturer at Meiji University, Japan. His research interests include genetics and genomics of crop plants such as genome-wide association study and genomic selection. Currently he is working on application of advanced genetics and genomics to practical plant breeding.Ai Kitazumi (Edited By) Dr. Ai Kitazumi is a research associate of computational biology for the De los Reyes laboratory at Texas Tech University. She has received a BA from College of the Atlantic, a MS from University of Maine and PhD from Texas Tech University. Her current research is addressing the genomic basis of transgressive segregation in plants by combining genomics, transcriptome, methylome, and prediction of recombination sites and chromatin confirmation.Kentaro Yano (Edited By) Dr. Kentaro Yano is a professor in the School of Agriculture at Meiji University, Japan. After receiving a PhD degree from Graduate School of Agriculture, Kyoto University, he has been working on big data integration to advance the plant omics research. His group has developed knowledge-based databases (e.g., TOMATOMICS, PODC) that integrates high-quality expression data from re-analysis of public
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datasets and the literature curated information on genes in crops and model plants through natural language processing.
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Bibliographische Angaben
- 2022, 264 Seiten, Englisch
- Herausgegeben: Hajime Ohyanagi, Eiji Yamamoto, Ai Kitazumi, Kentaro Yano
- Verlag: University of Pennsylvania Press, Inc.
- ISBN-10: 1789247535
- ISBN-13: 9781789247534
- Erscheinungsdatum: 14.12.2022
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Grösse: 6.74 MB
- Mit Kopierschutz
Sprache:
Englisch
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