Next Article in Journal
Sumoylation is Required for the Cytoplasmic Accumulation of a Subset of mRNAs
Previous Article in Journal
The Role of MicroRNAs in Diabetic Complications—Special Emphasis on Wound Healing
Article

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

by 1,* and 2,*
1
Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD 20993, USA
2
Department of Biochemistry and Molecular Medicine, George Washington University, Washington, DC 20037, USA
*
Authors to whom correspondence should be addressed.
Genes 2014, 5(4), 957-981; https://doi.org/10.3390/genes5040957
Received: 11 September 2014 / Revised: 22 September 2014 / Accepted: 22 September 2014 / Published: 30 September 2014
(This article belongs to the Section Technologies and Resources for Genetics)
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. View Full-Text
Keywords: big data; bioinformatics; high-performance cloud computing; high-throughput sequencing; next-generation sequencing; genomics big data; bioinformatics; high-performance cloud computing; high-throughput sequencing; next-generation sequencing; genomics
Show Figures

Figure 1

MDPI and ACS Style

Simonyan, V.; Mazumder, R. High-Performance Integrated Virtual Environment (HIVE) Tools and Applications for Big Data Analysis. Genes 2014, 5, 957-981. https://doi.org/10.3390/genes5040957

AMA Style

Simonyan V, Mazumder R. High-Performance Integrated Virtual Environment (HIVE) Tools and Applications for Big Data Analysis. Genes. 2014; 5(4):957-981. https://doi.org/10.3390/genes5040957

Chicago/Turabian Style

Simonyan, Vahan, and Raja Mazumder. 2014. "High-Performance Integrated Virtual Environment (HIVE) Tools and Applications for Big Data Analysis" Genes 5, no. 4: 957-981. https://doi.org/10.3390/genes5040957

Find Other Styles

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Back to TopTop