Aozan: an automated post-sequencing data-processing pipeline

Sandrine Perrin; Cyril Firmo; Sophie Lemoine; Stéphane Le Crom; Laurent Jourdren

doi:10.1093/bioinformatics/btx154

Aozan: an automated post-sequencing data-processing pipeline

Bioinformatics. 2017 Jul 15;33(14):2212-2213. doi: 10.1093/bioinformatics/btx154.

Authors

Sandrine Perrin¹, Cyril Firmo¹, Sophie Lemoine¹, Stéphane Le Crom^{1

2}, Laurent Jourdren¹

Affiliations

¹ École Normale Supérieure, PSL Research University, CNRS, Inserm, Institut de Biologie de l'École Normale Supérieure (IBENS), Plateforme Génomique, Paris, France.
² Sorbonne Universités, UPMC Univ Paris 06, Univ Antilles, Univ Nice Sophia Antipolis, CNRS, Evolution Paris Seine - Institut de Biologie Paris Seine (EPS - IBPS), Paris, France.

PMID: 28369225
DOI: 10.1093/bioinformatics/btx154

Abstract

Motivation: Data management and quality control of output from Illumina sequencers is a disk space- and time-consuming task. Thus, we developed Aozan to automatically handle data transfer, demultiplexing, conversion and quality control once a run has finished. This software greatly improves run data management and the monitoring of run statistics via automatic emails and HTML web reports.

Availability and implementation: Aozan is implemented in Java and Python, supported on Linux systems, and distributed under the GPLv3 License at: http://www.outils.genomique.biologie.ens.fr/aozan/ . Aozan source code is available on GitHub: https://github.com/GenomicParisCentre/aozan .

Contact: aozan@biologie.ens.fr.

MeSH terms

Humans
Quality Control
Sequence Analysis, DNA*
Software*