The Genome Enhancer is a fully automated pipeline for analysis of patient omics data, including genomics, transcriptomics, proteomics, epigenomics and metabolomics data. It performs so-called Upstream Analysis, which identifies master-regulators – potential drug targets identified for a certain patient, or a group of patients, and the drugs that may be effective in this case. Genome Enhancer generates a comprehensive analysis report which includes detailed information about the methods used and the results obtained, including genes that characterize the studied pathology, the transcription factors that regulate those genes, and the reconstructed model of the intracellular signaling network with identified master regulators – the potential drug targets for treating the studied pathology.
In this webinar, Dr. Alexander Kel, GeneXplain Chief Scientific Officer, will explain us the idea of Upstream Analysis as the base concept behind the Genome Enhancer and its functionalities. In addition, he will show the work done for the Optogenerapy project using an example of RNA-seq data.
Date
21st January
Time
15:00h (Berlin Time)
Host
Dr. Biotza Gutiérrez
Optogenerapy project Coordinator, Eurecat
Presenter
Dr. Alexander Kel
GeneXplain Chief Scientific Officer
You should be interested if you are…
-
A users of the Genome Enhancer tool willing to learn about all its functionalities.
-
A company needing to analyse omics data.
-
A researcher interested in analysing omics data in their work and in knowing about Optogenerapy project.
You will learn…
-
What is Genome Enhancer and how you can use it
-
How to accelerate omics data analysis process
-
How to build models using state-of-the-art tools and databases to get more information from your data
-
How to get ideas on further work in your research
About the presenter
Dr. Alexander Kel
Chief Scientific Officer at geneXplain
Alexander Kel received his Ph.D. in Bioinformatics, Molecular Biology and Genetics in 1990. The research experience of Dr. Kel in Bioinformatics totals more than 20 years and more than 90 scientific publications. During his career, he has worked in various branches of current bioinformatics including: theoretical models of molecular genetic information systems, sequence analysis, gene recognition, promoter analysis and prediction, analysis of protein secondary structure, prediction of RNA secondary structure, theory of mutation and recombination process, molecular evolution, databases and gene expression studies.