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Genome Browser in a Box (GBiB) is a "virtual machine" of the entire UCSC Genome Browser website that is designed to run on most PCs (Windows, Mac OSX or Linux). GBiB allows you to access much of the UCSC Genome Browser's functionality from the comfort of your own computer. It is particularly directed at individuals who want to use the Genome Browser toolset to view protected data. If it is not human sequencing reads, it usually does not fall under medical data privacy rules, and you should most likely not use GBiB but rather assembly hubs or track hubs. See our mirror page for adiscussion of the advantages/disadvantages of the different methods to customize your genome data display.
While GBiB and the Genome Browser are similar in many ways, there are key differences. In particular, GBiB makes it much easier to visualize sensitive or protected data. Prior to the introduction of GBiB, it was necessary to upload your data to the UCSC Genome Browser website or place the data files on a publicly accessible web server and supply the URL to UCSC in order to view your own data with the Genome Browser. GBiB removes these requirements: none of your data must be uploaded to the UCSC servers, allowing you to use the Genome Browser on personal datasets in situations where it's infeasible to load the data onto a public web server.
Rather than installing the entire UCSC genome annotation database (several terabytes of data), GBiB instead depends upon remote connections to various UCSC servers for much of its functionality and data. It connects to the UCSC download server to obtain genomic sequences, liftOver files, and many of the other large data files, and connects to one of UCSC's public MariaDB servers to download data displayed by the various annotation tracks. A few Genome Browser tracks are unavailable on the UCSC public MariaDB servers due to agreements with the data distributors (DECIPHER and LOVD Variants), and thus are unavailable for use with GBiB.
The majority of protected data use in the research community currently focuses on the human genomes, primarily the hg19 (GRCh37) assembly and with a growing body of annotation on the newer hg38 (GRCh38) assembly. As a result, GBiB is currently optimized for use with the hg19 assembly. Many other recent genome assemblies can also be viewed, but access may be slower than for optimized assemblies. Access speed may also be impacted by your connection distance from the UCSC server. To improve performance in these situations, GBiB includes a simple tool that allows you to download ("mirror") selected genome annotation tracks to your machine. You can find more information about this tool in the Improving Speed and Performance section.
For more background on GBiB see:
Haeussler M, Raney BJ, Hinrichs AS, Clawson H, Zweig AS, Karolchik D, Casper J, Speir ML, Haussler D, Kent WJ. Navigating protected genomics data with UCSC Genome Browser in a Box. Bioinformatics. 2015 Mar 1;31(5):764-6. PMID: 25348212; PMC: PMC4341066
GBiB will run on most modern PCs and major operating systems that meet these basic requirements:
If VirtualBox or the Genome Browser displays an error message during the installation process, consult the Troubleshooting section.
To start using GBiB with VirtualBox:
If you have correctly set up GBiB, your Internet browser should display the Genome Browser home page. From this page, you can start using GBiB as you would the public Genome Browser website. Consult the UCSC Genome Browser User's Guide for introductory information on using the Genome Browser tools.
To shut down the GBiB machine (for example, to change configuration options):
Under certain circumstances the speed and response time of GBiB may be less than optimal. This section offers suggestions for improving the performance of your GBiB installation.
As a first measure for performance improvement, try increasing the amount of RAM that GBiB is allowed to use. By default, this limit is set to 1 GB (1024 MB). If your machine has enough RAM installed, you may want to increase the GBiB RAM to 2, 4, or even 8 GB. This will usually improve the system responsiveness. To increase the RAM limit:
If your GBiB performance is still slow after increasing the RAM, you may be located too far from UCSC. The load time of default tracks ranges from a few seconds on the west coast of the United States to as much as 7 seconds from Europe. In this situation, you may want to use the GBiB mirror tool to download ("mirror") tracks to your machine, which will greatly increase the access speed for those tracks.
To use the mirror tool:
In addition to downloading entire track sets, you can also download individual subtracks. The file size of each track is listed next to the track name. If you are unsure of which tracks to select, we recommend the option Default tracks with conservation tables, but no alignments. When downloading large tracks, keep in mind that you cannot delete these tracks and the related data from GBiB once you have downloaded them. If you find that you've started downloading the wrong track or a track that is too large for your machine, you can cancel the download at any point by clicking Cancel Download Now.
Depending on your network bandwidth, the download can take several minutes or up to a few hours over a DSL line. During the download, the file gbib-data.vdi will grow in size, and you will not be able to use GBiB. Once the download is complete, the default tracks should load in less than three seconds for a typical genomic position.
If you are in your GBiB on the command-line you can use a direct rsync command for files of interest. For example, if you knew you wanted all the GENCODE tracks on hg19 you could run either of the two rsync commands for the North American or European hgdownload servers:
sudo rsync hgdownload.soe.ucsc.edu::mysql/hg19/wgEncodeGencode* /data/mysql/hg19/.
sudo rsync hgdownload-euro.soe.ucsc.edu::mysql/hg19/wgEncodeGencode* /data/mysql/hg19/.
The above commands will rsync all of the files at the UCSC hgdownload server in the hg19 assembly that start with wgEncodeGencode to your GBiB into the hg19 directory. There are some supporting files in a hgFixed directory, such as for the publication tracks, that could be mirrored with such commands.
You can also download gbdb files in this manner.
sudo rsync hgdownload.soe.ucsc.edu::gbdb/hg19/multiz100way/phyloP100way.wib /data/gbdb/hg19/multiz100way/.
sudo rsync hgdownload-euro.soe.ucsc.edu::gbdb/hg19/multiz100way/phyloP100way.wib /data/gbdb/hg19/multiz100way/.
The above command would copy the phyloP100way track to display in the GBiB from a local file.
GBiB has an offline mode that is particularly useful when you want to ensure that GBiB no longer
connects to the Internet once the initial download and setup are complete (for instance, to comply
with corporate IT policy). Before going offline, first mirror all the tracks that you will want to
access. Then, in the GBiB terminal window type the command:
gbibOffline. This command
will remove GBiB's network access to the UCSC MariaDB server and download servers.
Once GBiB is in offline mode, the Genome Browser will display an error message if you attempt to
access a data file not located on your local disk; therefore, we do not recommend this option for
general use. To reactivate Internet access, click on the GBiB terminal window and type the command:
The software that supports the UCSC Genome Browser is updated every three weeks. These updates include new features and bug fixes for existing features. The track data, on the other hand, are not updated on a regular basis. New tracks and updates to existing tracks are released as they pass UCSC's quality assurance process. The only exceptions to this are GenBank-based tracks, including RefSeq Genes, GenBank mRNAs, and others, which are updated weekly through an automatic process.
By default, GBiB is configured to automatically update its files, including software and tracks that you have mirrored. The updates will not affect your custom tracks, user accounts or sessions. We recommend that you leave the auto-update process turned on if Internet connection speed is not an issue, to ensure that you receive all the latest software features and bug fixes, as well as updates to your mirrored tracks.
If you are using a DSL line, we recommend turning off automatic updates. Over a slow internet
connection, the GBiB update may take several hours to complete, during which time the software will
be unusable. To turn off the auto-update process, start GBiB, then type the command
gbibAutoUpdateOff in the GBiB terminal window.
The auto-update process can be reactivated by typing the command
As an alternative to the auto-update process, you can manually update GBiB. To do so, start GBiB and
type the command
updateBrowser in the GBiB terminal window. This will run the script
that updates the GBiB software and any annotation tracks that you have mirrored. A manual update is
sometimes an effective solution when GBiB is functioning incorrectly or stops working (see the
In addition to providing access to the standard set of Genome Browser annotation tracks generated by UCSC, GBiB allows you to upload your own data in the form of custom annotation tracks. These tracks can be viewed in the Genome Browser alongside the native UCSC tracks.
Uploading your custom annotation tracks to GBiB is similar in many ways to the process used for uploading custom tracks on the public UCSC Genome Browser website. Custom tracks containing smaller data sets can be uploaded to GBiB through the Add Custom Tracks page. For more information on generating and uploading custom tracks, see the Custom Track help page. One big difference, however, is that GBiB has a built-in web server that can communicate directly with your computer. This eliminates the requirement that local big data files be hosted on a separate publicly accessible web server. As a result, your data remains private to your own computer, and will not be available to others unless you grant them access (see Loading local big data tracks and track hubs).
For improved display performance in the Genome Browser, big data sets are typically stored in a compressed, indexed binary file format such as bigBed, bigWig, BAM, or VCF that contains the data at several resolutions. Unlike custom tracks, in which the entire data set is loaded at once, big data files transmit only the data for the region currently displayed. In order to load and display data in one of these formats, the public Genome Browser website requires big data files to be placed on a publicly accessible web server. However, because GBiB acts as its own web server, your computer can share local big data files directly with GBiB for easy uploading as a custom track.
In addition to custom tracks, you can use track hubs and assembly hubs to easily view your data in GBiB. Track hubs are web-accessible directories of genomic data that offer a broader set of configuration and integration options than custom annotation tracks. Assembly hubs are an extension of track hubs and allow you to specify a file containing your novel genomic sequence, in addition to custom annotation data. One strong advantage of track and assembly hubs are that they persist until you delete them, in contrast to custom tracks outside of saved sessions that will automatically expire and be removed from the server after a few days. As with big data tracks, the GBiB built-in web server circumvents the requirement that track and assembly hubs be uploaded to a public accessible server prior to viewing. For more information see Starting a Blat enabled Assembly Hub on GBiB.
Loading local files, such as hubs or big data files, requires that GBiB has access the to local folder containing them. To allow GBiB to access one or more of your local folders, follow these steps:
Step 1. Shut down the GBiB virtual machine (Stopping GBiB)
Step 2. Allow VirtualBox access to one or more directories on your hard disk
To check if your folders are shared, type this address into your web browser: http://127.0.0.1:1234/folders. It should show all shared folders. To obtain the bigDataUrl of any of the files in your shared folders, right-click on any file and select "Copy link address". You can now paste this URL into the Add Custom Tracks page. Or, if you are uploading a track or assembly hub, right-click on your "hub.txt" file and select "Copy link address". You can now paste this URL into the box on the "My Hubs" tab of the Track Data Hubs page.
Here is an example of a custom track that loads a local BAM file (to customize this for your own use, replace the URL with a pasted URL from your own machine):
track type=bam name=BamExample bigDataUrl=http://127.0.0.1:1234/folders/test/bamExample.bam
The GBiB terminal is a normal Linux command line interface. For easier use of the command line, you can connect to the GBiB machine from your computer with ssh. This may offer better speed and more functionality, such as support for copy/paste.
To connect to GBiB with ssh, open a terminal on your computer and type:
-p 1235. You will be prompted for a password when attempting to access GBiB from your
computer's command line. The password is "browser". Alternatively you can use
sudo for root access, which does not require a password. Because stock Windows
computers do not have ssh installed, Windows users will have to use the GBiB terminal or install a
third-party ssh client for Windows, such as the free software Putty.
By default, GBiB includes a few of the commonly used UCSC file manipulation tools, such as
bedToBigBed, wigToBigWig, samtools and tabix. These tools can be used to convert and manipulate your
basic files into formats that can be uploaded to GBiB as custom tracks. If you need additional
Genome Browser tools, type the following command into the GBiB terminal window:
gbibAddTools. This command downloads and installs the full suite of command line tools
provided by UCSC. Many of these extra tools can be used to extract data and other useful information
from your files, or to convert them between various file types. A complete listing and description
for all of these tools can be found on UCSC's
You can use these tools to convert and extract data from your shared files with the standard "Read-only" settings. However, if you would like to to modify files you've shared with your GBiB, you will have to ensure that the "Read-only" access for VirtualBox is turned off. To do so, follow the directions in Step 2 of the Loading local big data tracks section, but deselect the checkbox next to "Read-only".
Please note that the gbibAddTools command requires sudo permissions.
A BAM file must be indexed before it can be loaded into the browser. For example, to index a BAM file in a shared folder "Documents" on your hard disk, type:
cd /folders/Documents samtools index my.sorted.bam
BED files must be converted to bigBed format to be loaded into the browser. For example, to convert a .bed file in a shared folder "Documents" on your hard disk to a .bigBed format file, type:
cd /folders/Documents fetchChromSizes hg19 > hg19.sizes bedToBigBed bedExample.txt hg19.sizes myBigBed.bb
Some files at external locations, like GEO, are already in binary indexed formats that can be loaded in the browser over the Internet. However, if the server providing these files does not accept byte-range requests, they cannot be transmitted over the Internet to view in the browser. For GEO files, try the ftp location first. If you find the files of interest are giving byte-range request errors, then one option is to download the files and locally load them from your own laptop. With GBiB you can download these files to a local shared folder and then browse them. In the following example the URL of the bigWig (.bw) file was obtained for the wget by right clicking the http link for this GSM1186795 example, that only displays data on chrM and chrX.
ssh browser@localhost -p 1235 (to enter GBiB from your computer terminal, password: browser) cd /folders sudo wget "https://www.ncbi.nlm.nih.gov/geo/download/?acc=GSM1186795&format=file&file=GSM1186795%5FDZ012%5FTRA1%5FN2L3%5Ftr27%5Fce10%5FBTm1x200n%2Ebw" -O GSM1186795.bw
The file can then be found in the GBiB's
or loaded with a direct link to the files location:
(NOTE: In this above example, the ftp location now has byte-range requests supported so the GEO ftp link can be loaded on the browser).
By default, GBiB can be accessed only from the machine on which it is installed. This is done to prevent others from accessing your data. You can, however, make your GBiB instance available for use by others. To open up external access to GBiB:
Note: In addition to enabling port forwarding for VirtualBox, you may need to enable the port forwarding functionality on your PC's firewall to allow others to access your GBiB. You will have to search online for instructions on how to enable this functionality for your PC's firewall.
Once you have opened external access to GBiB, your colleagues can access and use your GBiB instance by typing your IP address into their own Internet browser, followed by the :1234 port. Keep in mind that once you have opened up GBiB for remote access, anyone who knows your IP address will be able to access your instance of GBiB and the files that you have shared with it.
If you do not want your colleagues to configure track mirroring in your shared GBiB, you can use
gbibMirrorOn to disable or enable the
"Mirror Tracks" function in the menu.
The Session tool allows you to take a snapshot of your browser configured with specific track combinations, including custom tracks. A browser session can be saved for future use or shared with others who use your GBiB instance.
To use the Session tool, you must first create a user account. User accounts and sessions on GBiB are separate from those maintained on the UCSC Genome Browser public website. Because of this, user names and sessions that you create on GBiB cannot be used with the main UCSC Genome Browser website, and vice versa. More information on creating a user account and creating, saving, and sharing sessions can be found in the Sessions User's Guide.
Username recovery on accounts is not supported at this time; however, you can recover a lost password. The system for recovering lost passwords on GBiB is much different from that on the Genome Browser and requires access to the command line. To recover a lost password:
MESSAGE INDEXfrom the menu and press enter.
Please be aware that anyone with access to your username and the command line interface of your GBiB can change your password.
This section addresses some common errors and problems that you may encounter while setting up and installing GBiB. It is not intended as a comprehensive list. If you experience a problem not listed below, please email the UCSC Genome Browser public support mailing list at email@example.com. Note that messages sent to this address are publicly accessible.
VirtualBox Error: "VT-x/AMD-V hardware acceleration has been enabled, but is not operational. Your 64-bit guest will fail to detect a 64-bit CPU and will not be able to boot."
Solution 1: Some older entry-level laptops from around 2009-2011 (e.g. Toshiba Satellite U500) were sold with CPUs that do not support virtualization. These laptops cannot run GBiB. The same applies to low-cost laptops ("netbooks") with Intel Atom processors.
Solution 2: On some hardware, virtualization is supported but deactivated in the BIOS. Here is one example of how virtualization support is activated on some hardware. Note that your BIOS virtualization options may differ from those described here.
VirtualBox Error: "Failed to open virtual machine located in... Trying to open a VM config ... which has the same UUID as an existing virtual machine."
Solution: This error occurs if GBiB has been previously downloaded and installed. To resolve this problem:
VirtualBox Error: "Failed to open virtual machine located in... Cannot register the hard disk ... because a hard disk ... already exists."
Solution: This error occurs if GBiB has been previously downloaded and installed. To resolve this problem:
Genome Browser Error: "Couldn't connect to database hg19 on genome-mysql.soe.ucsc.edu as genomep."
Solution 1: This indicates that the virtual machine could not connect to the UCSC MariaDB
server. This error can be caused by a change of the IP address (e.g. on a wifi connection) that has
not yet been picked up by the virtual machine. In this situation, you can restart the box or run
sudo ifup --force eth0 to reset the network connection.
Solution 2: Alternatively, this error may be generated when the firewall does not allow outgoing TCP data on port 3306/MySQL. In this case, contact your institution's IT support staff to inquire about ways to open this port.
Genome Browser Error: "Couldn't connect to database hgcentral on localhost as root. Can't connect to local MySQL server through socket '/var/lib/mysql/mysql.sock' (13)"
Solution: This error can be caused when the virtual machine is downloading data such as when using the mirror tool to install local copies of tracks to increase speed and performance. Once the download finishes, the message will no longer appear. If one cancels a download in progress, the error can persist, in which case restart your virtual machine and the message should be removed.
Problem: Error when using BLAT.
When you use BLAT on your GBiB machine, it attempts to open outgoing TCP connections to the BLAT servers running at UCSC. Each assembly has two ports that need to be open from your GBiB machine to the UCSC BLAT servers. You will likely need to contact the system administrators at your institution and ask them to open outgoing TCP connections to a list of UCSC hostnames and ports. The commands below will allow you to find out the names of these hosts and ports.
Solution: To find the hostname-port combination to open from your GBiB machine, use this SQL query:
mysql hgcentral -e 'select * from blatServers where db="YOURDB"'
For example, if you want to enable BLAT for hg19 and hg38, you can issue this command:
mysql hgcentral -e 'select * from blatServers where db="hg38" or db="hg19"'
+------+---------------------+-------+---------+--------+ | db | host | port | isTrans | canPcr | +------+---------------------+-------+---------+--------+ | hg19 | blat4a.soe.ucsc.edu | 17779 | 0 | 1 | | hg19 | blat4a.soe.ucsc.edu | 17778 | 1 | 0 | | hg38 | blat4c.soe.ucsc.edu | 17781 | 0 | 1 | | hg38 | blat4c.soe.ucsc.edu | 17780 | 1 | 0 | +------+---------------------+-------+---------+--------+
Problem: GBiB is functioning incorrectly or stops working.
Solution 1: If you have previously turned off automatic updates, your software or data may need updating. Try manually updating GBiB. This update process may take several hours over a slow Internet connection.
Solution 2: Re-download the gbib.zip file and extract only the file gbib-root.vdi. Place this file in the same directory with the files extracted from your original GBiB installation. Do not extract and overwrite gbib-data.vdi -- it contains your personal track and session settings and mirrored tracks.
Problem: I need proxy support for my files to load.
Solution: Proxy servers may be required by some installations to get through a firewall.
You can add the settings
ftpProxy to hg.conf.local at
If the proxy server requires BASIC authentication, then the line in hg.conf.local should look like this:
If there are domains or domain-suffices that should not be proxied, use
The file /usr/local/apache/cgi-bin/hg.conf should already include a line like
hg.conf.local to incorporate the changes in hg.conf.local.
Problem: "No space left on device" error when running gbibAddTools.
In older GBiB's, there is an error in the
gbibAddTools command. To fix this command,
/home/browser/.bashrc file and change the following line:
alias gbibAddTools='mkdir ~/bin -p; rsync -avP hgdownload.soe.ucsc.edu::genome/admin/exe/linux.x86_64/ ~/bin/'
to either of the follwing lines:
alias gbibAddTools='sudo mkdir -p /data/tools; sudo rsync -avP hgdownload.soe.ucsc.edu::genome/admin/exe/linux.x86_64/ /data/tools/ && ln -s /data/tools ~/bin'
alias gbibAddTools='sudo mkdir -p /data/tools; sudo rsync -avP hgdownload-euro.soe.ucsc.edu::genome/admin/exe/linux.x86_64/ /data/tools/ && ln -s /data/tools ~/bin'
The updated commands will install the tools to a location with more disk space available using either the North American or European hgdownload servers.
In addition to normal Linux commands, GBiB defines some special commands you may use while inside the GBiB terminal's window. These additional commands are documented in the README.txt file on the GBiB terminal's home directory, which can also be accessed via ssh.
||Switch off automatic weekly updates|
||Reactivate automatic weekly updates|
||Switch off remote access to UCSC for tables or files|
||Reactivate remote access to UCSC for tables or files|
||Disable the "Mirror tracks" tool|
||Enable the "Mirror tracks" tool|
||Download the UCSC genome command line tools into the ~bin directory. Requires sudo permissions|
|Download the most current update script from UCSC now, this is part of an automatic update|
||Fix all MariaDB databases, fast version|
||Fix all MariaDB databases, intensive version|
||Reinit the eth0 network interface, in case VirtualBox dropped the network connection|
||Show a real-time log of all SQL queries on the console|
||Show the tables that had to be loaded through the internet from UCSC|
||Reset the table counters|
||Show the gbdb files that had to be loaded through the internet from UCSC|
||Reset the gbdb counters|
GBiB is free for non-profit academic research and for personal use. Corporate use requires a license, setup fee and annual payment. To purchase a license or download the GBiB, visit the Genome Browser store.