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ProLiVis 2.0 visualizes protein interactions with a new citation-trust model

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced ProLiVis 2.0, an updated system for visualizing protein-protein interaction networks. This new version incorporates a citation-trust model that scores interactions based on seven factors, including the number of independent laboratories supporting the findings. ProLiVis 2.0 also features a deterministic layout algorithm for reproducible figures and runs entirely in a web browser, eliminating the need for installation or data uploads. The system highlights that a significant portion of interactions in curated databases are based on single publications, a fact often obscured by existing visualization tools. AI

IMPACT Enhances scientific research by providing more nuanced visualization of complex biological data.

RANK_REASON The item is an academic paper detailing a new system and model for scientific visualization and data analysis. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

ProLiVis 2.0 visualizes protein interactions with a new citation-trust model

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The item is an academic paper detailing a new system and model for scientific visualization and data analysis. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Ege Aktan ·

    ProLiVis 2.0: Literature-Centric Visualization of Protein--Protein Interaction Networks, with a Citation-Trust Model for Interaction Evidence

    Protein-protein interaction databases record evidence without weighing it. In BioGRID, an interaction asserted once by a single high-throughput screen and one confirmed by twenty laboratories across a dozen assays are the same kind of row in the same file. Tools built on such dat…

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