<p>GruteDB: an optimized open-source distributed DTI pipeline estimates brain graphs from >5,000 publicly-available scans enabling mega-analysis</p>

Gregory Kiar; William Gray Roncal; Disa Mehmbere; Eric Bridgeford; Shangsi Wang; Carey E. Priebe; Randal Burns; Joshua T. Vogelstein

doi:10.7490/f1000research.1113325.1

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Kiar G, Gray Roncal W, Mehmbere D et al. GruteDB: an optimized open-source distributed DTI pipeline estimates brain graphs from >5,000 publicly-available scans enabling mega-analysis [version 1; not peer reviewed]. F1000Research 2016, 5:2568 (poster) (https://doi.org/10.7490/f1000research.1113325.1)

NOTE: it is important to ensure the information in square brackets after the title is included in this citation.

GruteDB: an optimized open-source distributed DTI pipeline estimates brain graphs from >5,000 publicly-available scans enabling mega-analysis

Gregory Kiar¹, William Gray Roncal, Disa Mehmbere, Eric Bridgeford, Shangsi Wang, Carey E. Priebe, Randal Burns, Joshua T. Vogelstein

Published 24 Oct 2016 (https://doi.org/10.7490/f1000research.1113325.1)

Author Affiliations

¹ Johns Hopkins University, USA

Copyright © 2016 Kiar G 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 24 Oct 2016

GruteDB: an optimized open-source distributed DTI pipeline estimates brain graphs from >5,000 publicly-available scans enabling mega-analysis
[version 1; not peer reviewed]

Gregory Kiar¹, William Gray Roncal, Disa Mehmbere, Eric Bridgeford, Shangsi Wang, Carey E. Priebe, Randal Burns, Joshua T. Vogelstein

Author Affiliations

¹ Johns Hopkins University, USA

Presented at

22nd Annual Meeting of the Organization for Human Brain Mapping (OHBM) 2016

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Dwi, dti, connectomics, pipeline, MRI, database, brain graphs,

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