<p>Computational prediction of key transcription factors involved in regulating the cellular response to rapamycin</p>

Kimberly MacKay; Zoe E. Gillespie; Brett Trost; Christopher H. Eskiw; Anthony Kusalik

doi:10.7490/f1000research.1112029.1

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MacKay K, Gillespie ZE, Trost B et al. Computational prediction of key transcription factors involved in regulating the cellular response to rapamycin [version 1; not peer reviewed]. F1000Research 2016, 5(ISCB Comm J):1068 (poster) (https://doi.org/10.7490/f1000research.1112029.1)

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Computational prediction of key transcription factors involved in regulating the cellular response to rapamycin

Kimberly MacKay¹, Zoe E. Gillespie, Brett Trost, Christopher H. Eskiw, Anthony Kusalik

Published 01 Jun 2016 (https://doi.org/10.7490/f1000research.1112029.1)

Author Affiliations

¹ University of Saskatchewan, Canada

Copyright © 2016 MacKay K 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 01 Jun 2016

Computational prediction of key transcription factors involved in regulating the cellular response to rapamycin
[version 1; not peer reviewed]

Kimberly MacKay¹, Zoe E. Gillespie, Brett Trost, Christopher H. Eskiw, Anthony Kusalik

Author Affiliations

¹ University of Saskatchewan, Canada

Presented at

Great Lakes Bioinformatics (GLBIO) and Canadian Computational Biology Conference 2016

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Rapamycin, RNA-seq Analysis, transcription factor motif finding

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