Aozan: an automated post-sequencing data-processing pipeline
Open Access
- 24 March 2017
- journal article
- research article
- Published by Oxford University Press (OUP) in Bioinformatics
- Vol. 33 (14), 2212-2213
- https://doi.org/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.Keywords
Funding Information
- Agence Nationale de la Recherche (ANR-10-INBS-09)
This publication has 8 references indexed in Scilit:
- SMITH: a LIMS for handling next-generation sequencing workflowsBMC Bioinformatics, 2014
- Galaxy LIMS for next-generation sequencingBioinformatics, 2013
- The Wasp System: An open source environment for managing and analyzing genomic dataGenomics, 2012
- NG6: Integrated next generation sequencing storage and processing environmentBMC Genomics, 2012
- openBIS: a flexible framework for managing and analyzing complex data in biology researchBMC Bioinformatics, 2011
- The Sanger FASTQ file format for sequences with quality scores, and the Solexa/Illumina FASTQ variantsNucleic Acids Research, 2009
- Ultrafast and memory-efficient alignment of short DNA sequences to the human genomeGenome Biology, 2009
- Basic local alignment search toolJournal of Molecular Biology, 1990