EZ-tracing is a new algorithm for tractography based on diffusion tensor analysis (DTA). This method adopts a new algorithm for analyzing DTA data, lambda chart analysis (LCA), and effectively overcomes the main shortcomings of previous methods for tractography. It is written in MATLAB scripting language (MathWorks, Natick, MA, USA) and can be implemented on common operating systems, such as Microsoft Windows, UNIX, and LINUX. At present, EZ-tracing is available on Microsoft Windows, ReHat LINUX, and Sun Solaris.
EZ-LCA is a new algorithm for Lambda Chart Analysis (LCA) based on Diffusion Tensor Analysis. LCA, allowing for a graphic representation of tissue diffusion characteristics, can effectively segregate isotropic and anisotropic components, and can be used for the noninvasive assessment of isotropic parenchymal components. It is written in MATLAB scripting language (MathWorks, Natick, MA, USA) and can be implemented on common operating systems, such as Microsoft Windows, UNIX, and LINUX. At present, EZ-LCA is available on Microsoft Windows, Red Hat LINUX, and Sun Solaris.
GDDI-O3K is a patch suite against GAMESS ver 22 Feb 2006 (R2), a widely used quantum chemistry program maintained by the members of the Gordon research group at Iowa State University.
Our patch is to provide users of SGI Origin with access to the functionality of generalized distributed data interface (GDDI), or “processor groups”, which has been unavailable on high-end parallel computers that utilize SHMEM as the inter-node communication protocol.
The current patch should be useful for Origin users who feel unsatisfactory about the lack of capability to perform large scale analyses based on the fragment molecular orbital method (FMO).
Also, it might be worth noting that our modification merges the framework of SHMEM-based DDI that has been established in the dedicated code, ddio3k.src, into the standard source files written in C.
The patch file and an installation script can be downloaded from right here.
Center for Integrated Human Brain Science