LORIS

LORIS (Longitudinal Online Research and Imaging System) is an open-source database solution platform for neuroimaging and neuroscience research.

LORIS is a platform designed for seamless data acquisition, curation, processing, and dissemination across large neuroimaging, clinical and genomic datasets. Its secure web-accessible database infrastructure automates the flow of data throughout the lifecycle of multi-site longitudinal studies, and includes extensive Quality Control and Data Validation processes for both scalar and multidimensional data.

LORIS’ extensible design enables researchers to aggregate, query, and distribute subject data in a powerfully customizable and flexible manner to image processing pipelines and analysis suites frequently used in neuroimaging research studies.

More info? visit http://www.LORIS.CA

Try our demonstration database at https://demo.loris.ca

Find our latest Release and Documentation Wiki on GitHub --
https://github.com/aces/Loris

Specifications

Category:Database Application
License:Creative Commons License
Domain:CT, EEG/MEG/ECoG, Imaging Genomics, MR, PET/SPECT
Environment:Web Environment
Operating System:Linux
Programming Language:Perl, PHP
Supported Data Format:MINC, MINC2

Associations


Recent Activity

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Tool & Resource news

LORIS 16.1.3 released on GitHub posted by Christine Rogers on Dec 14, 2016

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LORIS 16.0.1 released on GitHub posted by Christine Rogers on Jul 15, 2016

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LORIS 15.10.2 released on GitHub posted by Christine Rogers on Feb 18, 2016

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LORIS release 14.10 posted by Christine Rogers on Dec 19, 2014

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New LORIS Release posted by Dave MacFarlane on Dec 11, 2013

News Activity

Tool & Resource news

New Loris Release posted by Dave MacFarlane on Aug 1, 2012