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

Genes

Vahan Simonyan¹ 

[1] Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD 20993, USA

关键词: big data;    bioinformatics;    high-performance cloud computing;    high-throughput sequencing;    next-generation sequencing;    genomics;   

DOI  :  10.3390/genes5040957

来源: mdpi

【 摘 要 】

The High-performance Integrated Virtual Environment (HIVE) is a high-throughput cloud-based infrastructure developed for the storage and analysis of genomic and associated biological data. HIVE consists of a web-accessible interface for authorized users to deposit, retrieve, share, annotate, compute and visualize Next-generation Sequencing (NGS) data in a scalable and highly efficient fashion. The platform contains a distributed storage library and a distributed computational powerhouse linked seamlessly. Resources available through the interface include algorithms, tools and applications developed exclusively for the HIVE platform, as well as commonly used external tools adapted to operate within the parallel architecture of the system. HIVE is composed of a flexible infrastructure, which allows for simple implementation of new algorithms and tools. Currently, available HIVE tools include sequence alignment and nucleotide variation profiling tools, metagenomic analyzers, phylogenetic tree-building tools using NGS data, clone discovery algorithms, and recombination analysis algorithms. In addition to tools, HIVE also provides knowledgebases that can be used in conjunction with the tools for NGS sequence and metadata analysis.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.