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Bio and health informatics meets cloud : BioVLab as an example
Heejoon Chae1, Inuk Jung2, Hyungro Lee1
1School of Informatics and Computing, Indiana University, Bloomington, Indiana USA.
Health Information Science and Systems
|April 1, 2015
Summary
Next-generation sequencing generates vast biological data, posing storage and analysis challenges. Cloud computing offers a solution for big data in health and medicine, with a proposed integrated biological cloud environment.
Area of Science:
- Genomics
- Bioinformatics
- Health Informatics
Background:
- The exponential growth of genomic data from next-generation sequencing (NGS) necessitates advanced computational resources.
- Biological and medical sciences are increasingly data-driven, facing challenges in data transfer, storage, computation, and analysis.
- Cloud computing provides a scalable solution for managing and analyzing large-scale biological and medical datasets.
Purpose of the Study:
- To review existing public bio and health cloud systems.
- To discuss the limitations and challenges of current cloud systems for big bio/medical data.
- To propose a concept for a comprehensive biological cloud environment.
Main Methods:
- Review of publicly available bio and health cloud systems.
- Analysis of system features including graphical user interface, data integration, security, and extensibility.
- Discussion of identified issues and limitations.
Main Results:
- Current bio/health cloud systems offer varying features in terms of usability and integration.
- Significant challenges remain in computational power, storage, and data analysis for big bio/medical data.
- Existing systems may not fully address the specific needs of diverse biological application domains.
Conclusions:
- Cloud computing is essential for handling the increasing volume of biological data.
- A unified biological cloud environment concept is proposed to integrate tools and databases for big data analysis.
- Further development is needed to create a comprehensive workbench for bio/medical big data.
Keywords:
AnalysisBig dataBioinformaticsCloud computingData integrationSecurityUser interfaceWorkflowMore Related Videos
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