Integrative Bioinformatics : History and Future /

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
Corporate Author:	SpringerLink (Online service)
Other Authors:	Chen, Ming (Editor), Hofestädt, Ralf (Editor)
Format:	eBook
Language:	English
Published:	Singapore : Springer Nature Singapore : Imprint: Springer, 2022.
Edition:	1st ed. 2022.
Subjects:	Medicine-Research. Biology-Research. Bioinformatics. Data mining. Application software. Biomedical Research. Data Mining and Knowledge Discovery. Computer and Information Systems Applications. Electronic books.
Online Access:	Connect to the full text of this electronic book

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.