Search Results for "gmail source code"

MAGeCK2 is here: https://github.com/davidliwei/mageck2 Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout (MAGeCK) is a computational tool to identify important genes from the recent genome-scale CRISPR-Cas9 knockout screens technology. For instructions and documentations, please refer to the wiki page. MAGeCK is developed by Wei Li and Han Xu from Dr. Xiaole Shirley Liu's lab at Dana-Farber Cancer Institute/Harvard School of Public Health, and is maintained by Wei Li lab at...

The Development System for Auditory Modelling (DSAM) is a computational library designed specifically for producing simulations of the auditory system. It brings together many established auditory models within a flexible programming platform.

This project, developed at UCL London, provides code for tomographic reconstruction. NiftyRec is written in C and has Python and Matlab extensions. Computationally intensive functions have a GPU accelerated version based on CUDA.

...This program includes: Prewitt filter, Roberts Cross, Canny edge detector and finally Sobel filter with the ability to modify some variables such as sigma in Canny and see the result in real-time. To access and download the code, please review the code section. (The code section is currently close until our article gets published) Commiting publicly to the project is currently closed but feel free to email us. The source code is dependant on CUDA 5.0 Samples now available as part of the CUDA Toolkit. "This software contains source code provided by NVIDIA Corporation."

eegdev is a library that provides a unified interface for accessing an EEG recording system (the development targets mainly Biosemi and g.Tec system) and can be used as well to playback data in the software stack. In addition, it helps the implemention of new drivers by sharing part of code common to all drivers.

...Speedup by a factor of 22 and 32 is obtained for the EEG and MEG solution respectively when compared to the fastest CPU implementation available in the public domain. The complete source code and pre-compiled binaries are also made available via an open source license (GPL Version 3). A CUDA enabled NVIDIA graphics card is required to use the software.

BCIOP is a free, open and portable protocol standard for data exchnage with Brain Computer Interface devices. Compact deisgn allows its code to be easily implemented both on target microcontroller and the host computer.

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/

Research code for continuous 3D medial modeling targeted towards anatomical objects. Includes an OpenGL viewer and individual and population-based model fitting tools.

You can use this Program to reconstruct images using measuring data of a new small animal PET apparatus (MedPET 2). The code is optimized for the Cell BE platform. No different types of Prozessor are supportet!