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020 _a9789811667954
024 7 _a10.1007/978-981-16-6795-4
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQH324.2
_b2022 EB
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
300 _a1 recurso en línea (XI, 386 páginas)
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
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
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
998 _b09/2022
_dz
_eb
_zSI