Eoulsan: a cloud computing-based framework facilitating high throughput sequencing analyses.
Bioinformatics
; 28(11): 1542-3, 2012 Jun 01.
Article
en En
| MEDLINE
| ID: mdl-22492314
ABSTRACT
UNLABELLED We developed a modular and scalable framework called Eoulsan, based on the Hadoop implementation of the MapReduce algorithm dedicated to high-throughput sequencing data analysis. Eoulsan allows users to easily set up a cloud computing cluster and automate the analysis of several samples at once using various software solutions available. Our tests with Amazon Web Services demonstrated that the computation cost is linear with the number of instances booked as is the running time with the increasing amounts of data. AVAILABILITY AND IMPLEMENTATION Eoulsan is implemented in Java, supported on Linux systems and distributed under the LGPL License at http//transcriptome.ens.fr/eoulsan/
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Algoritmos
/
Análisis de Secuencia de ARN
/
Biología Computacional
/
Secuenciación de Nucleótidos de Alto Rendimiento
Límite:
Animals
Idioma:
En
Revista:
Bioinformatics
Asunto de la revista:
INFORMATICA MEDICA
Año:
2012
Tipo del documento:
Article
País de afiliación:
Francia