<p>iMADS: A sustainable software collaboration for predicting transcription factor binding specificity</p>

Dan Leehr; John Bradley; Raluca Gordan; Ning Shen; Hilmar Lapp

doi:10.7490/f1000research.1115770.1

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Leehr D, Bradley J, Gordan R et al. iMADS: A sustainable software collaboration for predicting transcription factor binding specificity [version 1; not peer reviewed]. F1000Research 2018, 7:1015 (slides) (https://doi.org/10.7490/f1000research.1115770.1)

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iMADS: A sustainable software collaboration for predicting transcription factor binding specificity

Dan Leehr¹, John Bradley, Raluca Gordan, Ning Shen, Hilmar Lapp

Published 06 Jul 2018 (https://doi.org/10.7490/f1000research.1115770.1)

Author Affiliations

¹ Duke University, USA

Copyright © 2018 Leehr D 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 06 Jul 2018

iMADS: A sustainable software collaboration for predicting transcription factor binding specificity
[version 1; not peer reviewed]

Dan Leehr¹, John Bradley, Raluca Gordan, Ning Shen, Hilmar Lapp

Author Affiliations

¹ Duke University, USA

Presented at

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

Abstract

Competing Interests

No competing interests were disclosed

Keywords

iMADS, DNA-binding, Transcription Factor, Open Source, Collaboration, Sustainable, Development

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