Requirements (Hardware): ------------------------ - NVIDIA graphic card (computing capability >=2.0, RAM >= 1.5Go) - Linux (Recommended Ubuntu >= 13.10), OSX, Windows Requirements (Software): ------------------------ - hdf5 - hf5py - CUDA (Cuda Toolkit >= 5.5) - pycuda (with opengl support) - OpenGL - wx - wxpython - wxpython-version - numpy - matplotlib - scipy - PyOpenGL To install pycuda with opengl support, first, follow the instructions at http://wiki.tiker.net/PyCuda/Installation . After running "python configure.py" change the file siteconf.py as follows: Replace: CUDA_ENABLE_GL = False by: CUDA_ENABLE_GL = True Installation: ------------- - Open a terminal - Create a directory your_dir - Extract graal.zip to your_dir - Create a directory your_dir/data - Extract fasta.zip, S1.zip and tricho_qm6a to your_dir/data - cd your_dir/graal - python main_window.py - Follow the instructions in the GUI Description : ------------- (see start_graal.pdf and pending_graal.pdf) A pyramid of contact matrices, P = {M0, M1, ..., Mk}, is a data structure representing the 3C/HiC data at different scales. The level 0 corresponds to the fragment contact matrix M0. If x is the subsampling/scaling factor, we construct Mi by creating bins of x^i collinear restriction fragments. G0 is the initial genome used to align the reads. The following steps refers to numbers and letters indicated in the pdf documents “start_graal.pdf” and “pending_graal.pdf”. 1) Load data set. - Select the folder your_dir/data/S1 or your_dir/data/tricho_qm6a - size of pyramid = 6 for tricho_qm6a ( t.reesei) - size of pyramid = 4 for S1 ( s.cerevisiae) - sub sampling factor = 3 2) Load the corresponding fasta file located in your_dir/data/fasta 3) Build the pyramid 4) Load the pyramid 5) Click on the "GRAAL" button 6) Fill the parameters 7) Click "start" to begin the simulation, and enter in the terminal the ID of the GPU used for computing. 8) Export trace and histogram of the selected variables A) The updated contact matrix B) Real time representation of the genome. Each floating ball corresponds to a bin of restriction fragments C) Real time visualisation of the parameters of the simulation The visualisation is made in a 3D OpenGl window. Left click and drag in the OpenGl window to move into the graph. Right click and drag to zoom in/out Press ‘w’ to change the background color Press 'p' to increase the size of the fragments Press 'm' to decrease the size of the fragments Press ‘d’ to decrease the contrast of the matrix Press ‘b’ to increase the contrast of the matrix