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Aozan: an automated post-sequencing data-processing pipeline.
Perrin, Sandrine; Firmo, Cyril; Lemoine, Sophie; Le Crom, Stéphane; Jourdren, Laurent.
Afiliación
  • Perrin S; École Normale Supérieure, PSL Research University, CNRS, Inserm, Institut de Biologie de l'École Normale Supérieure (IBENS), Plateforme Génomique, Paris, France.
  • Firmo C; École Normale Supérieure, PSL Research University, CNRS, Inserm, Institut de Biologie de l'École Normale Supérieure (IBENS), Plateforme Génomique, Paris, France.
  • Lemoine S; École Normale Supérieure, PSL Research University, CNRS, Inserm, Institut de Biologie de l'École Normale Supérieure (IBENS), Plateforme Génomique, Paris, France.
  • Le Crom S; École Normale Supérieure, PSL Research University, CNRS, Inserm, Institut de Biologie de l'École Normale Supérieure (IBENS), Plateforme Génomique, Paris, France.
  • Jourdren L; 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.
Bioinformatics ; 33(14): 2212-2213, 2017 Jul 15.
Article en En | MEDLINE | ID: mdl-28369225
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.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Análisis de Secuencia de ADN Límite: Humans Idioma: En Año: 2017 Tipo del documento: Article
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Análisis de Secuencia de ADN Límite: Humans Idioma: En Año: 2017 Tipo del documento: Article