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| 003 | ES-MaUEC | ||
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| 008 | 220415s2022 si | o |||| 0|eng d | ||
| 020 | _a9789811667954 | ||
| 024 | 7 |
_a10.1007/978-981-16-6795-4 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQH324.2 _b2022 EB |
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| 245 | 0 | 0 |
_aIntegrative Bioinformatics : _bHistory and Future _cedited by Ming Chen, Ralf Hofestädt |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aSingapore _bSpringer International Publishing _c2022 |
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| 300 | _a1 recurso en línea (XI, 386 páginas) | ||
| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
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| 505 | 0 | _aChapter 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. | |
| 520 | _aThis 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. | ||
| 988 | _aSpringer_BiomedLife_2022 | ||
| 650 | 7 |
_2embne _9160489 _aBioinformática |
|
| 700 | 1 |
_aChen, Ming. _eeditor literario |
|
| 700 |
_aHofestaedt, Ralf _eeditor literario _984127 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811667947 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811667961 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811667978 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-6795-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b09/2022 _dz _eb _zSI |
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