Package: afni Version: 0.20101018~dfsg.1-1~nd10.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 27964 Depends: afni-common (= 0.20101018~dfsg.1-1~nd10.10+1), tcsh, gifsicle, libjpeg-progs, freeglut3, libc6 (>= 2.11), libf2c2, libgiftiio0, libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libglw1-mesa | libglw1, libgomp1 (>= 4.2.1), libgsl0ldbl (>= 1.9), libgts-0.7-5 (>= 0.7.6), libice6 (>= 1:1.0.0), libmotif3, libnetcdf6, libnifti1 (>> 1.1.0-2), libsm6, libvolpack1, libx11-6, libxext6, libxi6, libxmu6, libxt6 Recommends: nifti-bin, bzip2, ffmpeg, netpbm Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni_0.20101018~dfsg.1-1~nd10.10+1_amd64.deb Size: 11120578 SHA256: 8dffc6e147d124579db22d9d573feaebff3e32f3a2b31b5a659d27b48e1f2479 SHA1: 98f446296f5f779f46551188000e81c81787db34 MD5sum: 68f2550b94ced1156ae29d1fc7b33b3d Description: toolkit for analyzing and visualizing functional MRI data AFNI is an environment for processing and displaying functional MRI data. It provides a complete analysis toolchain, including 3D cortical surface models, and mapping of volumetric data (SUMA). . In addition to its own format AFNI understands the NIfTI format and is therefore easily usable in combination with FSL and Freesurfer. Package: afni-common Source: afni Version: 0.20101018~dfsg.1-1~nd10.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6892 Depends: python, tcsh Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-common_0.20101018~dfsg.1-1~nd10.10+1_all.deb Size: 4188036 SHA256: 917aa14903053da0b30f362a72a88ca71fdc1596dacffbe569a530d5a2af3dd9 SHA1: a08e191f20e123526c8d996e6d2dffa2495cd1b3 MD5sum: c61b2a79a0adb145a51546a9e533bce5 Description: miscellaneous scripts and data files for AFNI This package provides the required architecture independent parts of AFNI. Package: afni-dev Source: afni Version: 0.20101018~dfsg.1-1~nd10.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 14980 Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_0.20101018~dfsg.1-1~nd10.10+1_amd64.deb Size: 3871390 SHA256: 1c8f0471451d50f8955f832814c68f81aebcd70f7a340183ffee79c93f8d8ccd SHA1: f74a963e6b2ff90035c5c59f19e76dbf84beec08 MD5sum: 3b20a827bb144da1bea1bd0dee08635c Description: header and static libraries for AFNI plugin development AFNI is an environment for processing and displaying functional MRI data. It provides a complete analysis toolchain, including 3D cortical surface models, and mapping of volumetric data (SUMA). . This package provides the necessary libraries and header files for AFNI plugin development. Package: jist Version: 2.0.20100907.dfsg1-1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 40092 Depends: mipav, openjdk-6-jre | java6-runtime, libcommons-cli-java (>= 1.2), libdrmaa-java, libjgraph-java (>= 5.10.1.2), libxom-java (>= 1.2.1), libxpp3-java (>= 1.1.4c), libxstream-java (>= 1.3.1) Homepage: http://www.nitrc.org/projects/jist/ Priority: extra Section: contrib/science Filename: pool/contrib/j/jist/jist_2.0.20100907.dfsg1-1_all.deb Size: 9020652 SHA256: b4059b70c695e9caba46e8ea1cca6482819c740b2d91b56a569a11f6c7fc60ba SHA1: 1f898a03ea355a710e23cc79ff3b5d4c63295852 MD5sum: 800acee273ebe4a3bd78c49d32188556 Description: Java Image Science Toolkit Java Image Science Toolkit (JIST) provides a native Java-based imaging processing environment similar to the ITK/VTK paradigm. Initially developed as an extension to MIPAV (CIT, NIH, Bethesda, MD), the JIST processing infrastructure provides automated GUI generation for application plug-ins, graphical layout tools, and command line interfaces.