Enhancer Element LocatorEnhancer Element Locator, or EEL, is a tool for locating distal gene enhancer elements in mammalian genomes by comparative genomics.
NewsEEL is not dead! It is continually maintained and developed and new features will be published in due course. The latest public source code is available at github repository.
Database access (discontinued on 3.10.2016))The web based database access to precomputed EEL results was running for more than ten years but ultimately discontinued due to little use and outdated data. If you want it back for some reason, please contact the author.
Genome wide data downloadThe data used in the paper is available here (Very outdated genome versions)
UsageInstructions for using the Enhancer Element Locator is available here. A straightforward protocol for EEL usage is also published in Nature Protocols.
DownloadEEL version 1.1 has been updated to work on newer python versions, namely python 2.6 and 2.7. The new recommended source package is here. The previous installation and usage instructions still hold. The graphical Tcl/Tk interface or Windows platform have not been tested recently. This, and possibly later, EEL code can be found from the git repository.
The EEL-1.1 software for old python 2.4 is available for download in various forms under the GNU General Public Licence. Please use above, updated, package if you are using modern python environment. The following binary packages are still available for use on systems without standard python/numpy/C installation (especially Windows and Mac):
- Standalone Windows. Just install and use on Microsoft Windows.
- EEL-1.0 Compiled MacOS X. Compiled binary package for Apple/PowerPC users. No graphical user interface and needs either PYTHONPATH set or extracted in /System/ directory.
- EEL-1.0.1 Fancy MacOS X. For Apple/PowerPC users. Contains Mac specific graphical user interface.
- Compiled Windows. If you already have python installed on your computer, you can try this precompiled package with Python scripts.
- Source. This works with everyone with enough patience. For Linux users this is preferable distribution, others should be prepared for more or less work to get everything running (need at least C-compiler and Python). If you compile EEL on some system not listed above, please mail the binary package to Kimmo Palin.
Transcription factor motifsYou can obtain transcription factor motifs from databases such as JASPAR or use the motifs used in the CELL article.
Apple MacOS XDownload the version compiled for Mac OS X from here. Start the Terminal program and uncompress the package with command
tar -zxvf MacEEL-1.1.tar.gzFollow the instructions in file EEL/MacEEL GUI INSTALL.rtf.
Linux and non-listed OSesDownload the source package from here. Uncompress the package by
tar -zxvf EEL-1.1.tar.gzFinally go the EEL-1.1 directory and issue the command
python setup.py installNow you should be able to launch eel with command
Microsoft WindowsClick the link for standalone Windows EEL above and follow the instructions on the installer.
- 27.2.2006 Minor update to EEL version 1.1. Minor polishing
of the user interface.
- Locating potential enhancer elements by comparative genomics using the EEL software By Kimmo Palin, Jussi Taipale and Esko Ukkonen. Nature Protocols 1(1), 27. June 2006, Pages 368-374.
- Hallikas, Palin,Sinjushina, Rautiainen, Partanen Ukkonen, Taipale: Genome-wide Prediction of Mammalian Enhancers Based on Analysis of Transcription Factor Binding Affinity. CELL 124, January 13, 2006.