There are three options to set up a Biocellion environment. They are all available for download on the Biocellion Download page (updated for Biocellion 1.2 03/27/2017).
- Download Biocellion VirtualBox Disk Image (.vdi) and run on VirtualBox
- Download Biocellion gcloud Disk Image and Setup Google Cloud and copy the Virtual Image Instance
- Directly download Biocellion from Biocellion.com and set up your own environment
If you are a new user who wants to try out Biocellion, you may want to choose option 1. The VirtualBox Disk Image has all the necessary softwar and environment preset to easily get started on Biocellion. However, this option may suffer from slow performance, and high memory usage. The VirtualBox Disk Image is about 3GB in size compressed, and 8 GB in size uncompressed.
If you are a competent *nix user and wish to set up Biocellion on the cloud, you may choose option 2. Google Cloud currently offers 2 months of free trial ($300 credit) for up to 8 virtualCPUs of compute power. This may be a desirable option if you wish to take advantage of Biocellion’s parallel-computing capability. The Google Cloud option does not come with Paraview as it does in option 1.
Finally, you may choose to set up Biocellion locally by simply downloading from Biocellion.com You would need to separately download Intel Threading Building Blocks 4.4 and optionally, Paraview. Additionally, several local directory paths would have to be preconfigured before running Biocellion.
Option 1: Download Biocellion VirtualBox Disk Image and Run on VirtualBox
1. Download and unzip Biocellion VirtualBox Disk Image (.vid) from Biocellion Download page.
2. If you have not done so already, download and install the appropriate version of VirtualBox for your OS.
3. Create a new virtual machine by clicking from the menu, Machine > New.
4. Name your virtual machine, select ‘Linux’ for Type, and ‘Ubuntu (64-bit). Continue.
5. Allocate memory. Continue.
6. Select ‘Use an existing virtual hard disk file,’ and load the uncompressed Biocellion.vdi file. Create.
7. Now, the new Virtual Machine will be available on the left panel of VirtualBox. Start the Virtual Machine. This machine has default login username of “Biocellion” and password “bio”. The user may choose to change the login setting. [Update: no password is required]
8. On the Desktop, there is a directory named ‘BiocellionVirtualBox’. It contains three subdirectories: biocellion, tbb44_20160526oss, and ParaView-5.1.0-Qt4-OpenGL2-MPI-Linux-64bit. [Update: now has Paraview-4.1.0]
9. biocellion1.2 directory contains the Biocellion software. Edit the BIOCELLION_ROOT path in Makefile.model to where the main Biocellion model directory is. All of the model codes take place in biocellion-user/ directory. In biocellion1.2, the directory structure has been modified to facilitate enterprise installation, where users read-only access to a shared instance of Biocellion.
10. ParaView-4.1.0-Linux-64bit directory contains the ParaView software for visualizing Biocellion model outputs. More information on Paraview can be found here.
11. The virtual machine has the 2017 version of Threading Building Blocks (C++ template library for parallel programming): tbb442017_20161128oss. If the user wishes to move (or update) the TBB library, the LD_LIBRARY_PATH in ~/.profile must be edited as well.
12. You’re ready to start running Biocellion!
Option 2: Setup Google Cloud and Copy the Virtual Image Instance
1. Download the gcloud Disk Image from Biocellion Download page (latest version: Biocellion1.2_GoogleCloudImage.1.12.2018.tar.gz). Do not unzip.
3. In your Google Cloud Console, create a bucket in Google Cloud Storage and in that bucket, upload the gcloud Disk Image to Google Cloud Storage.
4. Once the Disk Image is uploaded to Google Cloud Storage, run the following command in Terminal:
gcloud compute images create <project-name> --source-uri <URI>
<URI> is the location to the zipped Disk Image in your Google Cloud Storage (i.e. your URI may be https://storage.googleapis.com/bucket-name/Biocellion1.2_GoogleCloudImage.1.12.2018.tar.gz if you named your bucket, “bucket-name”.)
5. Now, the image <project-name> should be available under Images in your Google Cloud Platform. Create a virtual-machine instance booting from your image <project-name>.
6. Now, you should have a virtual machine running on Biocellion Image. Run gcloud locally in Terminal by typing:
gcloud compute --project “<your project>” ssh --zone “<zone>” “<your-instance>”
It may ask you to set up an ssh key.
7. Log in as “bio” to access Biocellion:
su bio password: bio cd ~/
8. You're ready to start coding! Place all Biocellion models under the 'biocellion-user' directory.
Option 3: Directly Download Biocellion from Biocellion.com and Set Up Your Own Environment
(source from Biocellion Support Forum)
1. Download Biocellion from Biocellion.com. Unzip Biocellion.
2. Open Makefile.model in the biocellion-user/ directory. Edit BIOCELLION_ROOT = /home/kang697/biocellion-1.2 to the directory path where Biocellion was installed.
3. Download Intel TBB (Threading Building Blocks version 2017 update 2 or later) from threadingbuildingblocks.org. Unzip.
Alternatively, Ubuntu users can install Intel TBB with:
sudo apt-get install libtbb2
4. Add TBB_ROOT(the directory where you unzipped Intel TBB)/lib/intel64/gcc4.4 and the Biocellion model directory path to LD_LIBRARY_PATH. You can do this by typing (if you’re using GNU Bash) the following line in Terminal:
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:TBB_ROOT(the directory where you unzipped intel TBB)/lib/intel64/gcc4.4:/BIOCELLION_ROOT(the Biocellion directory)/biocellion-user/model
This adds TBB for only the current Terminal session in which you are running Biocellion. If you would like LD_LIBRARY_PATH to permanently point TBB_ROOT, you may add the same export line at the bottom of the ~/.profile file.
5. You’re ready to start running Biocellion!