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220425s2022 si o 000 0 eng d |
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|a 10.1007/978-981-16-6795-4
|2 doi
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|a HCDD
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|a Integrative bioinformatics :
|b history and future /
|c Ming Chen, Ralf Hofestädt, editors.
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| 264 |
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1 |
|a Singapore :
|b Springer,
|c 2022.
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| 300 |
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|a 1 online resource (1 volume) :
|b illustrations (black and white, and color).
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|a text
|b txt
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|a computer
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|a online resource
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0 |
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|a 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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| 520 |
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|a 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.
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| 588 |
0 |
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|a Print version record.
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| 650 |
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0 |
|a Bioinformatics.
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| 650 |
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0 |
|a Integrative medicine.
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| 650 |
|
7 |
|a Bioinformatics
|2 fast
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| 650 |
|
7 |
|a Integrative medicine
|2 fast
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| 700 |
1 |
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|a Chen, Ming,
|e editor.
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| 700 |
1 |
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|a Hofestädt, Ralf,
|e editor.
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| 776 |
0 |
8 |
|i Print version:
|t INTEGRATIVE BIOINFORMATICS.
|d [Place of publication not identified] : SPRINGER VERLAG, SINGAPOR, 2022
|z 9811667942
|w (OCoLC)1267383802
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-981-16-6795-4
|y Click for online access
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| 903 |
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|a SPRING-BIOMED2022
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| 994 |
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|a 92
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