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The successful candidate will be in charge of the detection of polymorphisms including structural variants, of the comparison of multiple and diverse genomes of a same species and of the construction of pan- and core-genomes. These challenging tasks will require bioinformatics developments and implementation of methods for accommodating the high level of repetitiveness of complex genomes. The tools will be integrated into pipelines and made available to end-users through the Galaxy platform. The bioinformatician will therefore also have to provide researchers with advices on their experimental designs in order to ensure compliance of produced datasets with pipelines requirements. He/she will be hosted by a bioinformatics/informatics team (7 people) (http://moulon.inra.fr/index.php/fr/equipestransversales/atelier-de-bioinformatique) which has computational facilities and expertise in NGS data analysis, and will benefit as well from national and international collaborative networks (Aplibio http://www.renabi.fr/platforms/aplibio/, Transplant http://transplantdb.eu, AMAIZING http://www.amaizing.fr/).

The position requires a doctoral degree (PhD) in bioinformatics with strong expertise in script writing (Python/Perl) and pipeline development.

Applicants should send a CV and the names of 2 referees willing to provide a letter of recommendation to joets@moulon.inra.fr.

For more information visit: http://www.snubi.org/TBC2013/

More at https://okstate.csod.com/ats/careersite/JobDetails.aspx?site=8&id=9874

http://biopython.org/DIST/docs/tutorial/Tutorial.html

Getting Started with Nextflow

Objectives Understand

What a workflow management system is.

Understand the benefits of using a workflow management system.

Explain the benefits of using Nextflow as part of your bioinformatics workflow.

Explain the components of a Nextflow script.

Run a Nextflow script.

Introduction to Bioinformatics workflows with Nextflow and nf-core

Getting Started with Nextflow

Address of the bookmark: https://carpentries-incubator.github.io/workflows-nextflow/aio/index.html

Contact:
Computer Science Building (Science Park 3)
Altenberger Str. 69, A-4040 Linz, Austria
Tel. +43 732 2468 4520 / Fax +43 732 2468 4539
E-mail secretary@bioinf.jku.at

http://www.bioinf.jku.at/

http://www.interpretomics.co/

Address of the bookmark: https://github.com/sib-swiss/training-collection