CENTRA
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centrabrowser.bsky.social
CENTRA
@centrabrowser.bsky.social
Centrality-based Exploration of Network Topologies from Regulatory Assemblies: Context-aware Gene Function Estimation 🧪🧬🖥️

Available @: https://ngs-info.medizin.uni-halle.de/shiny/CENTRA/

CENTRA paper: https://doi.org/10.1093/nargab/lqaf196

DMs are open.
We’d love to hear your thoughts. Tried CENTRA yet? Feedback, bugs, ideas, or a module that completely surprised you? Tell us, we’re already shaping the next updates.

💬 DMs are open, or visit ngs-info.medizin.uni-halle.de/shiny/CENTRA/ for more contact options.
CENTRA
Centrality-Based Exploration of Network Topologies from Regulatory Assemblies
ngs-info.medizin.uni-halle.de
February 4, 2026 at 6:21 PM
Thinking about using CENTRA for functional exploration?

The browser comes with built-in functions to:
📚 parse gene metrics
🔍 generate ready-to-publish graphs
🧠 explore module functions across all networks

Everything is fully accessible without any account or login.
January 31, 2026 at 7:25 PM
🔀 CENTRA assesses the variance of betweenness to see how stable a gene’s bridging role really is.

📉 By randomly rewiring our networks we control for underrepresented genes in the dataset.

🛡️ What remains are genuine, robust information brokers or hidden functional master regulators.
January 28, 2026 at 6:17 PM
🧠 CENTRA uses Latent Dirichlet Allocation (LDA) to cluster gene sets by their semantic content.

🗂️ Each cluster becomes a distinct biological topic.

🕸️ This transforms unstructured text into functional gene networks.
January 25, 2026 at 3:06 PM
Each gene in CENTRA comes with its own radar plot visualizing key topological properties:
📡 Centrality
🌿 Local fractality
🛡️ Robustness

Perfect for comparing genes across different biomedical topics.
January 22, 2026 at 7:14 PM
CENTRA’s topics span a wide biological landscape, including:
🧠 Neurodevelopment
🔬 DNA damage response
🦠 Immune regulation
💥 Apoptosis
🧫 Cancer metabolism

…besides many others. Each topic forms its own network with distinct functional hubs.
January 19, 2026 at 3:28 PM
🧩 CENTRA identifies modules using Louvain clustering.

🔍 Each module is tested for functional coherence via Overrepresentation Analysis.

📊 The resulting modules often align with coordinated biological processes and pathways.
January 16, 2026 at 5:58 PM
🌿 Some genes reveal structure not by connections alone, but by how complex their local neighborhood is.

CENTRA uses Local Fractal Dimension to capture this, a measure of how dense the surroundings of a gene become in the network.

✨ High LFD can hint at elevated information density.
January 13, 2026 at 6:22 PM
⭐ Some genes stand out because of who they’re connected to.

CENTRA uses eigenvector centrality to identify these influence hubs, genes linked to other highly connected players across the network.

✨ High eigenvector values can hint at strong regulatory relevance.
January 12, 2026 at 3:12 PM
🔀 Some genes quietly sit at the crossroads of biological information flow.

CENTRA uses betweenness centrality to find these hidden mediators, genes that bridge modules and shape how information moves through a network.

✨ High betweenness can hint at regulatory leverage.
January 11, 2026 at 9:28 PM
How do we define a key gene in a network?

CENTRA uses multiple centrality measures:
🔹 Betweenness
🔹 Eigenvector
🔹 Local Fractal Dimension

These combine to reveal functional importance across contexts.
January 10, 2026 at 6:44 PM
CENTRA is available as interactive browser app:

🧭 Explore topic-specific networks
🔍 Search genes or terms
🌐 Visualize modules, metrics, enrichments
January 9, 2026 at 6:45 PM