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Related Concept Videos

Rapidly Varying Flow01:24

Rapidly Varying Flow

Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
Laminar Flow: Problem Solving01:24

Laminar Flow: Problem Solving

Laminar flow occurs when a fluid moves smoothly in parallel layers with minimal mixing and turbulence. In fluid mechanics, ensuring laminar flow within a pipe is essential for precise control of flow characteristics, especially in engineering applications. The key factor in determining whether flow remains laminar is the Reynolds number, a dimensionless quantity that depends on the fluid's velocity, density, viscosity, and the pipe's diameter. A Reynolds number of 2100 or lower indicates...
Introduction to Types of Flows01:23

Introduction to Types of Flows

Fluid flows are categorized by dimensionality and behavior, with one-dimensional flow being the simplest form, where properties like velocity and pressure change only along a single axis. Water moving through straight pipes exemplifies this flow type, as variations in other directions are minimal. One-dimensional analysis helps simplify understanding such flows, focusing solely on changes along the pipe's length.
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Flow Sheet01:17

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Flow Table Test01:12

Flow Table Test

The flow table test is an established method used to assess the workability of concrete, particularly useful for evaluating highly flowable concrete mixes. This test employs an apparatus that consists of a wooden board topped with a steel plate, collectively weighing 35 pounds. The board is connected to a base via a hinge and measures 27.6 inches on each side.
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Laminar Flow01:27

Laminar Flow

Laminar flow represents a smooth, orderly fluid motion where particles move along parallel paths, resulting in minimal mixing between layers. Streamlined particle paths characterize this flow regime and occur under conditions where viscous forces dominate over inertial forces. The distinction between laminar, transitional, and turbulent flow is primarily determined by the Reynolds number, a dimensionless quantity calculated as:

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Updated: Jun 24, 2026

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics
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MagmaFlow: A desktop platform for artificial intelligence-driven expression analysis.

Carlos E Buss1, Ao Li1, Eduardo H Gilglioni1

  • 1Signal Transduction and Metabolism Laboratory, Université libre de Bruxelles, Belgium.

FEBS Open Bio
|June 23, 2026
PubMed
Summary
This summary is machine-generated.

MagmaFlow integrates literature evidence and pathway analysis for multi-omics data interpretation. This tool enhances volcano plots, transforming static data into dynamic biological insights with AI-powered features.

Keywords:
Alcohol‐associated liver diseaseArtificial intelligenceComputational biologyData visualizationVolcano plots

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics
  • Transcriptomics
  • Proteomics

Background:

  • Volcano plots are common for visualizing multi-omics data but often lack integration with other biological evidence.
  • Existing frameworks for combining literature, pathway associations, and functional annotation with differential expression data are limited.
  • There is a need for tools that bridge the gap between raw multi-omics data and actionable biological interpretation.

Purpose of the Study:

  • To present MagmaFlow, a novel cross-platform application for enhanced multi-omics data analysis.
  • To integrate literature evidence, pathway associations, and functional annotation into volcano plot interpretation.
  • To transform static volcano plot visualization into a dynamic tool for biological discovery.

Main Methods:

  • Developed MagmaFlow, featuring literature-based gene scoring using PubMed via PubTator3.
  • Implemented interactive pathway-to-volcano mapping with multi-layer circle plots for visualizing pathway enrichment.
  • Integrated synchronized cross-view updates, smart label positioning, drag-and-drop annotation, and customizable styles for publication-quality figures.

Main Results:

  • MagmaFlow provides context-specific gene relevance ranking by retrieving associations from scientific literature.
  • The application visualizes pathway enrichment and cross-pathway membership interactively, synchronized with user selections.
  • Demonstrated the ability to convert differential expression data into actionable biological insights using AI-powered literature contextualization.

Conclusions:

  • MagmaFlow offers a unique solution for integrating diverse biological data types for enhanced interpretation.
  • The tool facilitates dynamic biological interpretation by enabling interactive exploration of multi-omics data.
  • MagmaFlow represents a significant advancement in converting complex datasets into biologically meaningful and actionable findings.