PT  - JOURNAL ARTICLE
AU  - Ben Aribi, Hiba
AU  - Abassi, Najla
AU  - Awe, Olaitan I.
TI  - NeuroVar: An Open-source Tool for Gene Expression and Variation Data Visualization for Biomarkers of Neurological Diseases
AID  - 10.1101/2024.08.21.609056
DP  - 2024 Jan 01
TA  - bioRxiv
PG  - 2024.08.21.609056
4099  - http://biorxiv.org/content/early/2024/08/22/2024.08.21.609056.short
4100  - http://biorxiv.org/content/early/2024/08/22/2024.08.21.609056.full
AB  - Background 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.Methodology Data collection involved filtering biomarkers related to multiple neurological diseases from the ClinGen database. We developed a comprehensive pipeline that was implemented as an interactive Shiny application and a standalone desktop application.Results NeuroVar is a tool for visualizing genetic variation (single nucleotide polymorphisms and insertions/deletions) and gene expression profiles of biomarkers of neurological diseases.Conclusion The tool provides a user-friendly graphical user interface to visualize genomic data and is freely accessible on the project’s GitHub repository (https://github.com/omicscodeathon/neurovar).Competing Interest StatementThe authors have declared no competing interest.SNPSingle Nucleotide PolymorphismIndelInsertion DeletionCSVComma Separated ValuesVCFariant Call Format