<p>Understanding reproducibility of bioinformatics workflows</p>

Sehrish Kanwal; Andrew Lonie; Richard Sinnott

doi:10.7490/f1000research.1115750.1

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Kanwal S, Lonie A and Sinnott R. Understanding reproducibility of bioinformatics workflows [version 1; not peer reviewed]. F1000Research 2018, 7:988 (poster) (https://doi.org/10.7490/f1000research.1115750.1)

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Understanding reproducibility of bioinformatics workflows

Sehrish Kanwal¹, Andrew Lonie, Richard Sinnott

Published 02 Jul 2018 (https://doi.org/10.7490/f1000research.1115750.1)

Author Affiliations

¹ The University of Melbourne Centre for Cancer Research, Australia

Copyright © 2018 Kanwal S et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 02 Jul 2018

Understanding reproducibility of bioinformatics workflows
[version 1; not peer reviewed]

Sehrish Kanwal¹, Andrew Lonie, Richard Sinnott

Author Affiliations

¹ The University of Melbourne Centre for Cancer Research, Australia

Presented at

Galaxy Community Conference and Bioinformatics Open Source Conference (GCCBOSC) 2018

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Reproducibility, bioinformatics, workflows

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