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Genome Annotation and Assembly
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Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...
What is Gene Expression?
What is Gene Expression?
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...
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Updated: Jul 10, 2026

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
Published on: August 15, 2019
A web-enabled database of human gene expression controlled annotations for gene list functional evaluation.
Mario Ceresa1, Marco Masseroli, Alessandro Campi
1Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milano, Italy.
GFINDer now integrates eVOC gene expression data for biological interpretation. This enhances understanding of complex diseases by analyzing gene lists and their expression patterns.
Area of Science:
- Genomics
- Bioinformatics
- Molecular Biology
Background:
- High-throughput technologies generate extensive gene lists requiring biological interpretation.
- Gene expression data is crucial for understanding gene function and disease mechanisms.
- Existing databases for genomic annotations are often fragmented and difficult to integrate.
Purpose of the Study:
- To enhance the GFINDer web server with eVOC gene expression ontology data.
- To enable statistical analysis of gene expression features for biological interpretation.
- To improve the understanding of patho-physiological phenomena through integrated genomic data.
Main Methods:
- Developed specific parsing and updating procedures for eVOC ontologies.
- Integrated eVOC gene expression information into the GFINDer database.
- Created new GFINDer modules for annotating human nucleotide sequences with expression features.
Main Results:
- Successfully imported and updated eVOC gene expression data within GFINDer.
- Enabled annotation of human gene sequences with eVOC expression information.
- Provided tools for statistical exploration and analysis of gene expression patterns.
Conclusions:
- The enhanced GFINDer system facilitates deeper biological interpretation of gene lists.
- Integration of eVOC data improves the utility of GFINDer for gene expression analysis.
- This approach aids in understanding disease mechanisms through comprehensive genomic data analysis.
