Integrative bioinformatics : history and future

Integrative bioinformatics : history and future / Ming Chen, Ralf Hofestädt, editors.

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 a...

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Bibliographic Details
Other Authors: Chen, Ming (Editor), Hofestädt, Ralf (Editor)
Format: eBook
Language:English
Published: Singapore : Springer, 2022.
Subjects:
Bioinformatics.
Integrative medicine.
Bioinformatics
Integrative medicine
Online Access:Click for online access
Table of Contents:
  • 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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