ArticleGigaByte (Hong Kong, China)2024
NeuroVar: an open-source tool for the visualization of gene expression and variation data for biomarkers of neurological diseases.
Article in GigaByte (Hong Kong, China), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- MARVpred: machine learning prediction of inhibitors targeting Marburg virus Gene 4 Small ORF protein.BMC infectious diseases · 2026Article
- RareInsight simplifies the communication of genetic results for rare disease patients.Scientific reports · 2025Article
- Acute Neurovascular Inflammatory Profile in Patients with Aneurysmal Subarachnoid Hemorrhage.Biomolecules · 2025Article
- Efficient and easy gene expression and genetic variation data analysis and visualization using exvar.Scientific reports · 2025Article
- EMImR: a Shiny application for identifying transcriptomic and epigenomic changes.GigaByte (Hong Kong, China) · 2025Article
- Enhanced deep Convolutional Neural Network for SARS-CoV-2 variants classification.Frontiers in artificial intelligence · 2025Article
- TargetingFrontiers in bioinformatics · 2025Article
- Prostruc: an open-source tool for 3D structure prediction using homology modeling.Frontiers in chemistry · 2024Article
- Machine learning and molecular docking prediction of potential inhibitors against dengue virus.Frontiers in chemistry · 2024Article
- NeuroVar: an open-source tool for the visualization of gene expression and variation data for biomarkers of neurological diseases.GigaByte (Hong Kong, China) · 2024Article
- Machine learning and molecular dynamics simulations predict potential TGR5 agonists for type 2 diabetes treatment.Frontiers in chemistry · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.