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High-Performance Integrated Virtual Environment (HIVE) Tools and Applications for Big Data Analysis
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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4276921/ https://www.ncbi.nlm.nih.gov/pubmed/25271953 http://dx.doi.org/10.3390/genes5040957 |
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author | Simonyan, Vahan Mazumder, Raja |
author_facet | Simonyan, Vahan Mazumder, Raja |
author_sort | Simonyan, Vahan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4276921 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-42769212014-12-30 High-Performance Integrated Virtual Environment (HIVE) Tools and Applications for Big Data Analysis Simonyan, Vahan Mazumder, Raja Genes (Basel) Article 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. MDPI 2014-09-30 /pmc/articles/PMC4276921/ /pubmed/25271953 http://dx.doi.org/10.3390/genes5040957 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Simonyan, Vahan Mazumder, Raja High-Performance Integrated Virtual Environment (HIVE) Tools and Applications for Big Data Analysis |
title | High-Performance Integrated Virtual Environment (HIVE) Tools and Applications for Big Data Analysis |
title_full | High-Performance Integrated Virtual Environment (HIVE) Tools and Applications for Big Data Analysis |
title_fullStr | High-Performance Integrated Virtual Environment (HIVE) Tools and Applications for Big Data Analysis |
title_full_unstemmed | High-Performance Integrated Virtual Environment (HIVE) Tools and Applications for Big Data Analysis |
title_short | High-Performance Integrated Virtual Environment (HIVE) Tools and Applications for Big Data Analysis |
title_sort | high-performance integrated virtual environment (hive) tools and applications for big data analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4276921/ https://www.ncbi.nlm.nih.gov/pubmed/25271953 http://dx.doi.org/10.3390/genes5040957 |
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