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High-Performance Integrated Virtual Environment (HIVE) Tools and Applications for Big Data Analysis.

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  • 1Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD 20993, USA. vahan.simonyan@fda.hhs.gov.

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This summary is machine-generated.

The High-performance Integrated Virtual Environment (HIVE) is a cloud platform for storing and analyzing genomic data. It offers a web interface with tools for Next-generation Sequencing (NGS) data analysis and visualization.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Genomic data storage and analysis present significant computational challenges.
  • High-throughput sequencing generates vast amounts of biological data requiring efficient management.

Purpose of the Study:

  • To introduce the High-performance Integrated Virtual Environment (HIVE) as a scalable cloud-based infrastructure.
  • To detail HIVE's capabilities for storing, analyzing, and visualizing Next-generation Sequencing (NGS) data.

Main Methods:

  • HIVE utilizes a distributed storage library and a distributed computational powerhouse.
  • A web-accessible interface allows authorized users to interact with the platform.
  • The infrastructure supports both proprietary and adapted external algorithms and tools.

Main Results:

  • HIVE provides a flexible environment for implementing new algorithms and tools.
  • Available tools include sequence alignment, variation profiling, metagenomic analysis, phylogenetic tree building, clone discovery, and recombination analysis.
  • Integrated knowledgebases enhance NGS sequence and metadata analysis.

Conclusions:

  • HIVE offers a comprehensive and efficient solution for genomic data management and analysis.
  • The platform's scalable architecture facilitates the integration of diverse bioinformatics tools.
  • HIVE supports advanced analyses of Next-generation Sequencing data through its integrated resources.