LONI Pipeline Processing Environment

The LONI Pipeline is a free workflow application primarily aimed at Neuroimaging Researchers. With the LONI Pipeline, users can create workflows that take advantage of all the greatest Neuroimaging tools available, quickly.

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Features

If there are tools that you need that can only work on another operating system, you can install a Pipeline server on that computer and connect from your client to do processing and analysis remotely.
If you don't want to define your own modules, you can connect to the LONI Pipeline server and take advantage of all the modules we have defined for use in our lab. This way, you also get the benefit of all your processing being done on our 600 CPU computing grid.
If you have a grid at your disposal the Pipeline can exploit parallelism in your workflow, and process large datasets in about the time it takes to process a single one.
Putting together workflows only requires knowledge of your tools and your goal, instead of programming languages and scripts.

LONI Pipeline Processing Environment Support

Download Details

Version:	4.4
Release Date:	2009-09-21
Developer(s):	Petros Petrosyan, Zhizhong Liu and Kamen Lozev
License:	LONI Software License
File Size:	26.61 MB

SYSTEM REQUIREMENTS OS: NA, Memory: Less than 64Mb for client - 100Mb + X (X denotes variables like client load, etc.), Processor: Not processor-specific

Reference(s)
Rex, D. E., Ma, J. Q., and Toga, A. W. (2003). "The LONI Pipeline Processing Environment." Neuroimage, 19(3), 1033-48.

Dinov ID, Payan A, Petrosyan P, Liu Z, Lozev KM, Hojatkashani C, Magsipoc R, MacKenzie-Graham A, Van Horn JD, Woods RP, Eggert PD, Parker DS, Toga AT. The LONI Pipeline: A Graphical Workflow Environment for Neuroimaging Data. (submitted)

MacKenzie-Graham, A., Van Horn, J., Woods, R., Crawford, K., and Toga, A. (2008b). "Provenance in neuroimaging " NeuroImage, 42(1), 178-195.

MacKenzie-Graham AJ, Payan A, Dinov ID, Van Horn JD and Toga AW 2008 Neuroimaging Data Provenance Using the LONI Pipeline Workflow Environment. In: Lecture Notes in Computer Science, Freire J, Koop D and Moreau L (Eds). Springer-Verlag, pp 208-220.

Acknowledgement(s)
This work was supported by:
NIH-NCRR P41 RR013642
NIH-NCRR U54 RR021813
NIH-NIMH R01 MH071940