A meta-repository of all the pieces needed to get EnsemblFS up and running:

• FuseSharp, used to build FUSE file systems in C#
• Ensembl.NET, a C# library layer on Ensembl databases (like the Bio::Ensembl perl library)
• EnsemblFS, the actual file system code

EnsemblFS is a virtual file system that presents an Ensembl Human Genome database as a set of files for easier exploration.

For a quick intro to the Ensembl database structure and how EnsemblFS works with it, see HOWITWORKS.

THIS IS VERY EXPERIMENTAL CODE. Please don't use this for any production use. See Notes, below, for a list of issues.

NOTE: EnsemblFS only runs on macOS at this time. If there is enough interest, I will port this to Linux and/or Windows. File an issue here to request it.

• EnsemblFS has only been tested on macOS Catalina (10.15) but should work on Leopard (10.5) and later.
• Requires Dotnet Core 3.0. Install the SDK from here.
• Requires Xcode Command Line Tools. Install with xcode-select --install.
• Requires OSXFUSE. Install with brew cask install osxfuse.
• Requires glib. Install with brew install glib.
• (optional) If you want to run EnsemblFS against a local database, you'll need to download and install the Ensembl Data according to these instructions.
• (optional) Download and install Visual Studio Code. The three projects that make up EnsemblFS were all developed in VS Code and include helpful configurations that make running and debugging much simpler.

1. Clone this repository locally: git clone https://github.com/stephen-riley/ensembl-fs-quickstart.git
2. Change directory into the quickstart repo: cd ensembl-fs-quickstart
3. Initialize and download the submodules: git submodule init && git submodule update
4. Build the FuseSharp adapter library: FuseSharp/src/Adaptor/buildadaptor
5. Set configuration: cp ensembl-net/etc/ensembl.conf ~/.ensembl.conf
6. Change directory to the main project: cd ensembl-fs/EnsemblFS
7. Run EnsemblFS, mounting it in /tmp: dotnet run -- /tmp/ensemblfs

1. Clone this repository locally: git clone https://github.com/stephen-riley/ensembl-fs-quickstart.git
2. Change directory into the quickstart repo: cd ensembl-fs-quickstart
3. Initialize and download the submodules: git submodule init && git submodule update
4. Build the FuseSharp adapter library: FuseSharp/src/Adaptor/buildadaptor
5. Set configuration: cp ensembl-net/etc/ensembl.conf ~/.ensembl.conf
6. Fire up Visual Studio Code: code .
7. From the Debug menu, select Start Debugging to run EnsemblFS mounted at /tmp/ensemblfs

Currently EnsemblFS supports viewing chromosome data for the selected species. To see a list of supported species, simply execute ls on the EnsemblFS mount point:

The overall directory structure is as follows:

ensemblfs/
    species/
        proteins/       # not yet implemented
        features/       # not yet implemented
        chromosomes/
            1/
                REF
            2/
            :

The REF files contain the actual base pair data (A, T, C, G, and N). See the Ensembl site for more information.

The file at ensembl-net/etc/ensembl.conf contains the information necessary to connect to the desired Ensembl database. This file must be copied to ~/.ensembl.conf (or /etc/ensembl.conf for a global configuration). It defaults to connecting to one of Ensembl's US-based public databases, which contains almost 500 different versions of different species.

See HOWITWORKS.md in the EnsemblFS project.

• The code is built for Ensembl database version 99. I've not tested it against version 98 schemas, so YMMV.
• Only chromosome base pair data is supported right now.
• See this issue for some notes on your Terminal configuration. (tl;dr: Set your Terminal Scrollback setting to "Limit number of rows to: 10,000" under Profiles->Window).
• If you see mount_osxfuse: mount point /private/tmp/ensemblfs is itself on a OSXFUSE volume, that means you need to unmount the virtual file system. Just run the umount command, specifying the mount point; eg. umount /private/tmp/ensemblfs.

I've been meaning to try FUSE for a while, and recently a friend got hired at a genetics lab software company, which rekindled my interest in molecular biology and the Human Genome Project. This seemed like a fun way to combine these things.