Dear colleague, we know how important it is for you to identify molecular mechanisms of the pathologies that you are studying in your research or medical practice and we understand how much efforts you were putting in each and every analysis that you have performed for inspecting a certain disease.
Exactly for this reason, and also to save your time and research budget, we have developed Genome Enhancer – an automatized system that allows you to analyze sets of various patient omics data and identify key drug targets of the pathology.
Genome Enhancer integrates deep gene regulation analysis with pathway analysis and allows to reconstruct a signal transduction network of the studied disease.
As a user, you simply upload all patient omics data which you have to the system and perform an easy annotation of the uploaded files. Using a friendly graphical visualization tool, you will inform the system about the logic of your study (whether you have a time series, or you want to perform experiment vs. control data analysis, or you are searching for clusters of coregulated genes and so on – you will find the full list of available analysis options in the User Guide).
The main idea of Genome Enhancer is that after you upload and annotate your data in the system, you will just have to press on the RUN button and go get yourself a coffee as there’s nothing else you should do for the analysis.
Once the analysis is finished, you will receive an HTML report from the system constructed in a form of a publication draft. The report will include description of the performed analysis scenario, lists of identified differentially expressed genes (DEGs), lists of transcription factors with which promoters of the identified DEGs are enriched, lists of master regulators which potentially regulate those transcription factors and (if applicable) lists of chemical compounds which can affect the identified master regulators. Besides that the report presents beautiful graphic materials, which, for example, include pictures of reconstructed disease signaling networks. The report also includes description of the methods, which were used for the analysis, references to corresponding scientific literature and links to the complete analysis results (such as full tables of identified genes and proteins and visualization materials which are in-built in the system).
Honestly, we can write an almanac about Genome Enhancer, but it would be much more worth if you would just go to http://my-genome-enhancer.com and browse the system yourself.
Thank you very much for your interest in Genome Enhancer!
We faithfully hope that our tool will advance you research.
Genome Enhancer Team