Eoulsan: a cloud computing-based framework facilitating high throughput sequencing analyses.

Laurent Jourdren (1, 2) , Maria Bernard (1, 2) , Marie-Agnès Dillies (2, 1) , Stéphane Le Crom (1, 2)

1 Genomique ENS - GenomiqueENS
2 PF2 - Transcriptome et Epigénome

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.

Domaines: Génomique, Transcriptomique et Protéomique [q-bio.GN]; Bio-Informatique, Biologie Systémique [q-bio.QM]

Laurent Jourdren, Maria Bernard, Marie-Agnès Dillies, Stéphane Le Crom. Eoulsan: a cloud computing-based framework facilitating high throughput sequencing analyses.. Bioinformatics, 2012, 28 (11), pp.1542-3. ⟨10.1093/bioinformatics/bts165⟩. ⟨hal-02879328⟩