AI Article Synopsis
- A new tool called NeuroVar was developed to help visualize and analyze large genomic data, specifically focusing on neurological diseases.
- It uses an interactive Shiny application and a standalone desktop version for easy access and user experience.
- NeuroVar allows users to explore genetic variations and gene expression profiles by filtering data from the ClinGen database, and it's available for free on GitHub.
Article Abstract
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. Here, we developed a comprehensive pipeline that was implemented as an interactive Shiny application and a standalone desktop application. NeuroVar is a tool for visualizing genetic variation (single nucleotide polymorphisms and insertions/deletions) and gene expression profiles of biomarkers of neurological diseases. Data collection involved filtering biomarkers related to multiple neurological diseases from the ClinGen database. NeuroVar 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).
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11612633 | PMC |
| http://dx.doi.org/10.46471/gigabyte.143 | DOI Listing |
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