Integrative bioinformatics : history and future / Ming Chen, Ralf Hofestädt, editors.
Chen, Ming, editor.; Hofestädt, Ralf, editor.
2022
QH324.2
Available Online

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Title Integrative bioinformatics : history and future / Ming Chen, Ralf Hofestädt, editors.
ISBN 9789811667954 (electronic bk.)
9811667950 (electronic bk.)
9811667942
9789811667947
DOI https://doi.org/10.1007/978-981-16-6795-4
Published Singapore : Springer, 2022.
Language English
Description 1 online resource (1 volume) : illustrations (black and white, and color).
Item Number 10.1007/978-981-16-6795-4 doi
Call Number QH324.2
Dewey Decimal Classification 570.285
Summary This book provides an overview of the history of integrative bioinformatics and the actual situation and the relevant tools. Subjects cover the essential topics, basic introductions, and latest developments; biological data integration and manipulation; modeling and simulation of networks; as well as a number of applications of integrative bioinformatics. It aims to provide basic introduction of biological information systems and guidance for the computational analysis of systems biology. This book covers a range of issues and methods that unveil a multitude of omics data integration and relevance that integrative bioinformatics has today. It contains a unique compilation of invited and selected articles from the Journal of Integrative Bioinformatics (JIB) and annual meetings of the International Symposium on Integrative Bioinformatics.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Chen, Ming, editor.
Hofestädt, Ralf, editor.
Available in Other Form INTEGRATIVE BIOINFORMATICS.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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Chapter 1. Integrative Bioinformatics: History and Perspective
Chapter 2. From Genotypes to Phenotypes - A Plant Perspective on Current Developments in Data Management and Data Publication
Chapter 3. Research data resources for epidemiology
Chapter 4. Data Warehousing of Life Science Data
Chapter 5. Automation in Graph-Based Data Integration and Mapping
Chapter 6. DaTo: an Integrative Web Portal for Biological Databases and Tools
Chapter 7. The Use of Data Integration and Knowledge Graphs in Modern Molecular Plant Breeding
Chapter 8. Integrative data analysis and exploratory data mining in biological knowledge graphs
Chapter 9. Exploring plant transcription factor regulatory networks
Chapter 10. Microbiome and big-data mining
Chapter 11. Data Integration Applications in Medical Information Systems
Chapter 12. Visualising Metabolic Pathways and Networks: Past,Present,Future
Chapter 13. Comprehensive open-source Petri net toolchain for modeling and simulation in systems biology
Chapter 14. Immersive Exploration of Cell Localization Scenarios using VR, Spatialized Video Communication and Integrative Bioinformatics
Chapter 15. IoS: a Needed Platform for Scientific Workflow Management
Chapter 16. Revealing genotype-phenotype interactions: The AgroLD experience and challenges
Chapter 17. Interactive Data Analyses Using Tbtools
Chapter 18. Analyzing multi-omic data with integrative platforms.

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