Search Results for "software without code"

...This package does not contain all data required to run, i.e. does not contain GEANT4 libraries and GEANT4 nuclear data (for saving space). It does contain however the X-Ray spectrum data. Read README.txt me inside Build folder for how to fix it. Source code included. Also, available on GitHub: https://github.com/ZiliasTheSaint/DoseInHumanBody.git

Brain imaging software produced by the Brain Research Imaging Centre of The University of Edinburgh.

HeatmapGenerator is a graphical user interface software program written in C++, R, and OpenGL to create customized gene expression heatmaps from RNA-seq and microarray data in medical research. HeatmapGenerator can also be used to make heatmaps in a variety of other non-medical fields. HeatmapGenerator is peer-reviewed published software (http://www.scfbm.org/content/9/1/30). Please cite: [Khomtchouk et al.: "HeatmapGenerator: High performance RNAseq and microarray visualization software suite to examine differential gene expression levels using an R and C++ hybrid computational pipeline." ...

As of 2015-06-23, this project may now be found at http://www.github.com/mdpnp/mdpnp. A prototype reference implementation of the standard for the Integrated Clinical Environment (ASTM F2761-2009)

""" E-Cell's source code repository has moved to GitHub! https://github.com/ecell The development of E-Cell now continues on GitHub. The Subversion repository was abandoned. """ E-Cell System is an object-oriented software suite for modeling, simulation, and analysis of large scale complex systems such as biological cells. It allows many components driven by multiple algorithms with different timescales to coexist in a model.

With this Python module (based on C++ code) it is possible to create a Brain Comp. Interface (BCI) and herewith to get EEG data online and evaluate the data while receiving it. - Up to now, this tool relies on the Brain Vision Rec. as EEG software -

Using the CUDA API this project modifies the AutoDock software to run in parallel on NVIDIA GPUs. Users will be able to download and compile the code and use AutoDock on CUDA capable Graphics Cards. Autodock is located at http://autodock.scripps.edu/