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No-coding
Bioinformatics
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For molecular biologists and clinical researchers
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“Intelligent design” of promoters: Practical Guide
Q&A: Coffee break with TRANSFAC
In this webinar Dr. Alexander Kel, the CEO and CSO of geneXplain GmbH, will show how artificial promoters can be constructed with software tools using machine learning (ML) and artificial intelligence (AI) approaches, based on data collected in TRANSFAC. After a short summary on the architecture of promoters and enhancers and on the use of artificial promoters in gene therapy and in other applications, Alexander will give a step-by-step guide for construction and evaluation of artificial promoters and their tissue- and context-specificity. The following main questions will be in the focus of this seminar:
- Summary on artificial promoters and enhancers and their application
- Machine learning and artificial intelligence approaches for predicting tissue-specific promoter activity
- Introduction into tools for construction of artificial promoters
- Demonstration of automatic promoter analysis pipeline
- Step by step demo of promoter construction and evaluation
Schedule
Key benefits
No-coding bioinformatics
Perform cutting edge bioinformatics analysis in a user-friendly interface with no programming skills needed
Multi-omics
Learn how to process and integrate various omics data types in your analysis
Promoter analysis
Become the gene regulation expert with deep understanding of transcription factors interplay in various conditions
Pathway analysis
Discover the master regulators governing the studied biological processes through intracellular signaling pathways
Disease molecular mechanisms
Identify prospective biomarkers and drug targets for the pathologies of your interest by performing integrated promoter and pathway analysis
Gold standard tools and databases
Learn how to use the best-in-class knowledge bases on genes, proteins, transcription factors, pathways, drugs, and their targets, together with integrated tools
Testimonials
Coming soon
My way from promoters to pathways
Paid course, €299 per seat before VAT. Date and time will be announced soon.
In this course we will: