CloudDOE: a user-friendly tool for deploying Hadoop clouds and analyzing high-throughput sequencing data with MapReduce.
<h4>Background</h4>Explosive growth of next-generation sequencing data has resulted in ultra-large-scale data sets and ensuing computational problems. Cloud computing provides an on-demand and scalable environment for large-scale data analysis. Using a MapReduce framework, data and workl...
Guardado en:
Autores principales: | Wei-Chun Chung, Chien-Chih Chen, Jan-Ming Ho, Chung-Yen Lin, Wen-Lian Hsu, Yu-Chun Wang, D T Lee, Feipei Lai, Chih-Wei Huang, Yu-Jung Chang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2014
|
Materias: | |
Acceso en línea: | https://doaj.org/article/e7264bcae4304649936f0264f83955d0 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Analyzing the Users’ Acceptance of an IoT Cloud Platform Using the UTAUT/TAM Model
por: Antonio Robles-Gomez, et al.
Publicado: (2021) -
Cloud services: incentives of users to adaptation
por: A. B. Kuryatnikov, et al.
Publicado: (2018) -
En la Búsqueda de Soluciones MapReduce Modulares para el Trabajo con BigData: Hadoop Orientado a Aspectos
por: Vidal-Silva,Cristian L., et al.
Publicado: (2018) -
GeneCloudOmics: A Data Analytic Cloud Platform for High-Throughput Gene Expression Analysis
por: Mohamed Helmy, et al.
Publicado: (2021) -
Detection of Gas Clouds with Cellular Sensor Network and Drone Based Deployment System
por: Robert Kathrein, et al.
Publicado: (2021)