The rise of high-throughput methods in genomic research greatly expanded our knowledge about the functionality of the genome. At the same time, the amount of available genomic position data increased massively, e.g., through genome-wide profiling of protein binding, virus integration or DNA methylation. However, there is no specialized software to investigate integration site profiles of virus integration or transcription factor binding sites by correlating the sites with the diversity of available genomic annotations.
Here we present Enhort, a user-friendly software tool for relating large sets of genomic positions to a variety of annotations. It functions as a statistics based genome browser, not focused on a single locus but analyzing many genomic positions simultaneously. Enhort provides comprehensive yet easy-to-use methods for statistical analysis, visualization, and the adjustment of background models according to experimental conditions and scientific questions.
Enhort is publicly available online at www.enhort.mni.thm.de and published under GNU General Public License.
The application was published in 2019: https://peerj.com/articles/cs-198/
A seperate SETUPINSTR.md file is available containing instructions to run Enhort on your own infrastructure.
A JDK with Java 8 or higher is needed, as well as Maven.
Build steps:
- Download the sources from https://git.thm.de/mmnz21/Enhort
- cd into the enhortlib folder
- run 'mvn package' to build the library
- run the following to add the library to the local .m2 folder and repository: mvn install:install-file -Dfile=Enhortlib-1.01.jar -DpomFile=pom.xml
- cd back and into the /backend
- run 'mvn package -Dmaven.test.skip=true'
- Tests are skipped because several test-files are needed to run them
- cd back and into the /frontend directory
- run 'mvn package'
- go up one directory
- rename both jars with: mv backend/target/Enhort-1.01-jar-with-dependencies.jar enhort.jar mv frontend/target/Enhort-1.01-jar frontend.jar
- continue with the set up as described in the SETUPINSTR.md file
There is a VirtualBox image with Enhort set up for reference and to test with your own data:
https://zenodo.org/record/2597397 https://doi.org/10.5281/zenodo.2597397
DOI: 10.5281/zenodo.2597397