NeuroVar: A Genetic Expression and Variation data visualization tool for Neurological diseases’ biomarkers
- Background
- About NeuroVar
- Demonstration Video
- Usage Guidelines
- Code availability
- License
- Citation
- Contributors
The expanding availability of large-scale genomic data and the growing interest in uncovering gene-disease associations call for efficient tools to visualize and evaluate gene expression and genetic variation data.
NeuroVar is a novel tool for visualizing genetic variation (Single nucleotide polymorphisms and insertions/deletions) and gene expression data related to neurological diseases. The tool is available as a desktop application that does not require any computational skills to use.
The current version includes :
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11 Neurological Syndromes are integrated, including:
★ Epilepsy ★ Amyotrophic lateral sclerosis ★ Intellectual disability and Autism spectrum disorder ★ Brain malformation syndrome ★ Syndromic Disorders ★ Cerebral Palsy ★ RASopathy ★ Aminoacidopathy ★ CranioFacial Malformations ★ Parkinson disease ★ PHARC syndrome
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and 7 Non-Neurological diseases with neurological manifestations are integrated, including:
★ Peroxisomal disorders ★ Hereditary cancer ★ Mitochondrial disease ★ Retina-related disorders ★ General Gene Curation ★ Hearing Loss ★ Fatty Acid Oxidation Disorders
NeuroVar is available as a Shiny Application and a desktop application.
- Shiny application
Guide : Click Here
- Desktop application
Guide : Click Here
Demonstration data are provided here
This data will guide you to organize your data correctly and could be used to test the tool.
The code if the two versions are available open source.
- Shiny application
Source Code : Click Here
- Desktop application
Source Code : Click Here
The tool is also registered at SciCrunch.org.
RRID: SCR_025640
License : Artistic license 2.0
Hiba Ben Aribi, Najla Abassi and Olaitan I. Awe. NeuroVar: A Genetic Expression and Variation data visualization tool for Neurological diseases’ biomarkers. Zenodo. https://doi.org/10.5281/zenodo.13375646. RRID: SCR_025640.
To report an issue please use the issues page (https://github.com/omicscodeathon/neurovar/issues). Please check existing issues before submitting a new one.
You can offer to help with the further development of this project by making pull requests on this repo. To do so, fork this repository and make the proposed changes. Once completed and tested, submit a pull request to this repo.
Hiba Ben Aribi, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis, Tunisia (Developer - Writer).
Najla Abassi, Pasteur Institute of Tunis, Tunisia (Developer - Writer).
Olaitan I. Awe, African Society for Bioinformatics and Computational Biology (ASBCB), Cape Town, South Africa.