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Bioinformatics services for analyzing massive genomic datasets.

Gunhwan Ko1, Pan-Gyu Kim1, Youngbum Cho2

  • 1Korea Bioinformation Center (KOBIC), KRIBB, Daejeon 34141, Korea.

Genomics & Informatics
|April 1, 2020
PubMed
Summary
This summary is machine-generated.

Bio-Express offers a user-friendly, cloud-based system for analyzing large genomic datasets. This platform provides cost-effective solutions and predefined pipelines for multi-omics data, simplifying complex computational challenges for researchers.

Keywords:
analysis pipelinecloud computinggenomic dataweb serverworkflow system

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Rapid increase in next-generation sequencing data presents significant computational challenges.
  • Handling ultra-large-scale genomic datasets requires substantial computational resources and analysis pipelines.
  • Cloud computing offers a scalable solution for accessing computational resources and analysis tools.

Purpose of the Study:

  • To present Bio-Express, a cloud computing-based system for efficient analysis of massive genomic datasets.
  • To provide researchers with a user-friendly and cost-effective platform for multi-omics data analysis.
  • To facilitate downstream analysis of genomic data through web-based services.

Main Methods:

  • Development of a cloud computing system named Bio-Express.
  • Integration of predefined analysis pipelines for genome, transcriptome, epigenome, and metagenome data.
  • Implementation of web-based services for enhanced downstream analysis.

Main Results:

  • Bio-Express provides a user-friendly interface for analyzing large-scale omics data.
  • The system offers cost-effective solutions and customizable analysis pipelines.
  • Web-based services are available to support further genomic data analysis.

Conclusions:

  • Bio-Express addresses the computational challenges posed by big genomic data.
  • The platform empowers researchers with accessible and efficient tools for multi-omics analysis.
  • The Bio-Express web service is freely available to the research community.