Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Ogive Graph01:07

Ogive Graph

6.6K
An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
6.6K
Nodal Analysis01:10

Nodal Analysis

1.8K
Nodal analysis is a fundamental method in electrical engineering used to simplify the process of circuit analysis. This method revolves around the concept of using node voltages as the primary variables for circuit analysis. The objective is to determine the voltage at each node in a circuit, which can then be used to find other quantities of interest, such as currents through specific components.
Consider, for instance, a simple circuit composed of three nodes and three resistors, as shown in...
1.8K
Graphical Representation of Inequalities01:28

Graphical Representation of Inequalities

166
The graph of the equation where y equals x squared forms a curve known as a parabola. This curve acts as a boundary in the coordinate plane, dividing it into distinct regions based on the relative position of points.When the equality sign in the equation is replaced with an inequality—such as greater than, less than, greater than or equal to, or less than or equal to—the graphical representation changes from a single curve into a broader shaded area that signifies the set of all...
166
Nuclear Magnetic Resonance (NMR): Overview01:07

Nuclear Magnetic Resonance (NMR): Overview

6.7K
Nuclear magnetic resonance (NMR) is a phenomenon exhibited by certain nuclei that can absorb characteristic radio frequency radiation under certain conditions. NMR has been extensively applied in molecular spectroscopy and medical diagnostic imaging. In both these applications, the molecule or subject under study is placed in a magnetic field and irradiated with radio frequency energy.
NMR spectroscopy generates a spectrum where the characteristic absorption frequencies of the sample are...
6.7K
Hückel's Rule Diagram of π MOs: Frost Circle01:08

Hückel's Rule Diagram of π MOs: Frost Circle

5.5K
The Frost circle or the inscribed polygon method is a graphical method for determining the relative energies of π molecular orbitals (MOs) for planar, fully conjugated, and monocyclic compounds. This method was first described by A. A. Frost and Boris Musulin in 1953.
A Frost circle is constructed by drawing a polygon whose number of edges is equal to the number of carbons of the given cyclic system, with one of the vertices pointing down. Then, a circle is drawn enclosing the polygon so that...
5.5K
Bar Graph01:07

Bar Graph

21.4K
A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
21.4K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

RNA knowledge-graph analysis through homogeneous embedding methods.

Bioinformatics advances·2025
Same author

An ontology-based knowledge graph for representing interactions involving RNA molecules.

Scientific data·2024
Same author

An open source knowledge graph ecosystem for the life sciences.

Scientific data·2024
Same author

Multi-resolution visualization and analysis of biomolecular networks through hierarchical community detection and web-based graphical tools.

PloS one·2020
Same author

UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function prediction.

BMC bioinformatics·2019
Same journal

An epigenetic clock for chronological age estimation in East Asian populations.

NAR genomics and bioinformatics·2026
Same journal

The role of ATF4 in neurons under mitochondrial stress.

NAR genomics and bioinformatics·2026
Same journal

Distinct repeat architecture landscapes in the proteomes of protozoan parasites.

NAR genomics and bioinformatics·2026
Same journal

Long non-coding RNA triplex-dependent regulation of melanoma gene networks.

NAR genomics and bioinformatics·2026
Same journal

Challenges in predicting chromatin accessibility differences between species.

NAR genomics and bioinformatics·2026
Same journal

Power-law penalties correct distance bias in single-cell co-accessibility and deep-learning chromatin interaction predictions.

NAR genomics and bioinformatics·2026
See all related articles

Related Experiment Video

Updated: Jan 15, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.3K

RNA-KG v2.0: an RNA-centered Knowledge Graph with Properties.

Emanuele Cavalleri1, Paolo Perlasca1, Marco Mesiti1,2

  • 1Computer Science Department, University of Milan, Via Celoria 18, 20133, Italy.

NAR Genomics and Bioinformatics
|January 14, 2026
PubMed
Summary
This summary is machine-generated.

RNA-KG v2.0 enhances RNA research by integrating manually curated interactions and detailed attributes. This biomedical knowledge graph aids in classifying molecules, predicting interactions, and discovering therapeutic targets.

More Related Videos

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.1K
Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.7K

Related Experiment Videos

Last Updated: Jan 15, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.3K
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.1K
Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.7K

Area of Science:

  • Biomedical Informatics
  • Molecular Biology
  • Bioinformatics

Background:

  • RNA-KG is a biomedical knowledge graph for RNA interactions.
  • Existing versions facilitate molecule classification and interaction prediction.
  • There is a need for enhanced context-aware RNA data integration.

Purpose of the Study:

  • Introduce RNA-KG v2.0, an upgraded biomedical knowledge graph for RNA molecules.
  • Integrate manually curated interactions and detailed node attributes.
  • Enable advanced, context-aware queries and link prediction for RNA research.

Main Methods:

  • Integrated approximately 1.5 million manually curated interactions from 91 linked open data repositories and ontologies.
  • Characterized relationships with standardized properties capturing experimental context (cell line, tissue, pathology).
  • Enriched nodes with attributes like descriptions, synonyms, and molecular sequences from OBO, NCBI, RNAcentral, and Ensembl.

Main Results:

  • RNA-KG v2.0 provides a comprehensive repository of RNA interactions with contextual information.
  • The enhanced repository supports advanced queries considering experimental conditions.
  • Integration with RNAcentral links RNA relationships with gene expression, structure, and pathways.

Conclusions:

  • RNA-KG v2.0 significantly advances RNA research by providing a context-aware knowledge graph.
  • The resource accelerates the discovery of novel therapeutic targets through improved data integration and analysis.
  • Context-aware link prediction techniques are enabled, combining topological and semantic information.