<p>APOSTL: An interactive Galaxy Pipeline for reproducible analysis of affinity proteomics data</p>

Brent Kuenzi; Adam  Borne; Jiannong Li; Eric Haura; John  Koomen; Paul Stewart; Uwe Rix

doi:10.7490/f1000research.1112710.1

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Kuenzi B, Borne A, Li J et al. APOSTL: An interactive Galaxy Pipeline for reproducible analysis of affinity proteomics data [version 1; not peer reviewed]. F1000Research 2016, 5:1829 (slides) (https://doi.org/10.7490/f1000research.1112710.1)

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APOSTL: An interactive Galaxy Pipeline for reproducible analysis of affinity proteomics data

Brent Kuenzi, Adam Borne, Jiannong Li, Eric Haura, John Koomen, Paul Stewart¹, Uwe Rix

Published 27 Jul 2016 (https://doi.org/10.7490/f1000research.1112710.1)

Author Affiliations

¹ H. Lee Moffitt Cancer Center & Research Institute, USA

Copyright © 2016 Kuenzi B 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 27 Jul 2016

APOSTL: An interactive Galaxy Pipeline for reproducible analysis of affinity proteomics data
[version 1; not peer reviewed]

Brent Kuenzi, Adam Borne, Jiannong Li, Eric Haura, John Koomen, Paul Stewart¹, Uwe Rix

Author Affiliations

¹ H. Lee Moffitt Cancer Center & Research Institute, USA

Presented at

Galaxy Community Conference 2016

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Reproducibility, protein interactions, cancer, Galaxy

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