<p>Candidate gene methylation quantification (CandiMeth) within the Galaxy Bioinformatics Interface</p>

Sara-Jayne Thursby; Sarah-Jayne Mackin; Rachelle Irwin; Colum Walsh

doi:10.7490/f1000research.1115806.1

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Thursby SJ, Mackin SJ, Irwin R and Walsh C. Candidate gene methylation quantification (CandiMeth) within the Galaxy Bioinformatics Interface [version 1; not peer reviewed]. F1000Research 2018, 7:1060 (slides) (https://doi.org/10.7490/f1000research.1115806.1)

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Candidate gene methylation quantification (CandiMeth) within the Galaxy Bioinformatics Interface

Sara-Jayne Thursby, Sarah-Jayne Mackin, Rachelle Irwin, Colum Walsh¹

Published 11 Jul 2018 (https://doi.org/10.7490/f1000research.1115806.1)

Author Affiliations

¹ University of Ulster, UK

Copyright © 2018 Thursby SJ 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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Published 11 Jul 2018

Candidate gene methylation quantification (CandiMeth) within the Galaxy Bioinformatics Interface
[version 1; not peer reviewed]

Sara-Jayne Thursby, Sarah-Jayne Mackin, Rachelle Irwin, Colum Walsh¹

Author Affiliations

¹ University of Ulster, UK

Presented at

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

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Galaxy, bioinformatics, user-friendly, workflow

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