LONI Distributed Pipeline Server (DPS) Installation Utility

DPS is a utility that streamlines the process of setting up an independent Pipeline environment. The interface walks a user through several steps, providing default preferences along the way, but also gives the user flexibility in configuring the resulting system. As a result, this tool is designed to be used by neuroscientists, bioinformaticians, and system administrators alike.

Rate this software:

Rated 4.63/5 (665 Votes)

DPS Home

More Info

Screenshot 1

Features

Advice and hints inform the user about system parameters that are required by the installer.
If deploying on top of a cluster of nodes, Son of Grid Engine can be installed.
A list of neuro imaging and bioinformatics packages are optionally available, along with associated Pipeline modules and workflows
The Pipeline server can be configured from the DPS interface or, after installation, by launching the server terminal interface

LONI Distributed Pipeline Server (DPS) Installation Utility Support

Download Details

Version:	2.0.2
Release Date:	2012-04-19
Developer(s):	Petros Petrosyan, Zhizhong Liu and Alen Zamanyan
License:	LONI Software License
File Size:	322 KB

SYSTEM REQUIREMENTS OS: CentOS version 5.8 or above

Reference(s)
Dinov, ID, Lozev K, Petrosyan P, Liu Z, Eggert P, Pierce, J, Zamanyan, A, Chakrapani, S, Van Horn, JD, Parker, DS, Magsipoc, R, Leung, K, Gutman, B, Woods, RP, Toga, AW. (2010) Neuroimaging Study Designs, Computational Analyses and Data Provenance Using the LONI Pipeline. PLoS ONE 5(9):e13070. doi:10.1371/journal.pone.0013070

Dinov, ID, Torri, F, Macciardi, F, Petrosyan, P, Liu, Z, Zamanyan, A, Eggert, P, Pierce, J, Genco, A, Knowles, JA, Clark, AP, Van Horn, JD, Ames, J, Kesselman, C, Toga, AW. (2011) Applications of the Pipeline Environment for Visual Informatics and Genomics Computations, BMC Bioinformatics, 12:304, doi:10.1186/1471-2105-12-304.

Acknowledgement(s)
This work was supported by:
NIH-NCRR 9P41EB015922-15 and 2-P41-RR-013642-15
NIH-NCRR U54 RR021813
NIH-NIMH R01 MH071940