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Resource Name
RRID:SCR_009588 RRID Copied      
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JIP Analysis Toolkit (RRID:SCR_009588)
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Resource Information

URL: http://www.nmr.mgh.harvard.edu/~jbm/jip/

Proper Citation: JIP Analysis Toolkit (RRID:SCR_009588)

Description: Software toolkit for analysis of rodent and non-human primate fMRI data. The toolkit consists of binary executables, highly portable open-source c code, and image resources that enable 1) Automated registration based upon mutual information (affine, non-linear warps), with flexible control and visualization of each step; 2) visualization of 4-dimensional data using either mosaic or tri-planar display of the z/slice dimension, and integration of a general linear model for graphical display of time series analysis; 3) A simple and flexible 1st-order GLM for fMRI time series analysis, a 1st-order GLM analysis for PET data within the SRTM framework, plus a 2nd-order GLM analysis following the Worsley 2002 scheme, and 4) MRI templates to place your rodent and non-human primate data into standardized spaces.

Abbreviations: JIP Toolkit

Synonyms: JIP fMRI Analysis Toolkit

Resource Type: data processing software, image analysis software, software application, software resource, software toolkit

Keywords: affine warp, atlas application, atlas data, c, console (text based), image display, image-to-image, linux, macos, magnetic resonance, nifti, nonlinear warp, pet, spect, posix/unix-like, registration, resampling, spatial transformation, time domain analysis, visualization, warping, fmri

Funding: NIBIB R03EB008134

Availability: MGH CSRL License

Resource Name: JIP Analysis Toolkit

Resource ID: SCR_009588

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Data and Source Information

Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400