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

Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

602
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
602
Language01:16

Language

913
Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
913
Resultant of a General Distributed Loading01:13

Resultant of a General Distributed Loading

1.0K
While designing structures exposed to non-uniform loads, it is crucial to consider the resultant force and its location. This resultant force is a single vector representing the net force applied due to the distributed load.
Examples such as load distribution due to wind and load distribution on a bridge illustrate how this concept is used to analyze and design safe, reliable structures under variable loading conditions. Most structures, such as residential buildings, bridges, and towers, are...
1.0K
Sample Preparation for Analysis: Advanced Techniques01:08

Sample Preparation for Analysis: Advanced Techniques

1.4K
Accurate analysis of complex samples often requires advanced preparation techniques to achieve reliable and reproducible results. Samples containing inorganic or organic materials can be challenging to dissolve or decompose effectively. Standard sample preparation methods include acid digestion, fusion, dry ashing, and wet digestion.
Acid digestion with strong acids is commonly used to dissolve inorganic materials that are insoluble (do not dissolve) in water. This method can be useful for...
1.4K
Resultant Moment: Scalar Formulation01:31

Resultant Moment: Scalar Formulation

2.3K
When multiple forces act on an object in two-dimensional space, the concept of the net moment can be used to understand the tendency of these forces to induce rotational motion about a fixed point. The scalar formulation of the resultant moment is a helpful tool in analyzing the equilibrium of structures subjected to multiple forces.
To determine the resultant moment, the moments caused by all the forces in a system in the x-y plane are considered. Positive moments are typically...
2.3K
Resultant Moment: Vector Formulation01:30

Resultant Moment: Vector Formulation

3.9K
When a force is applied to an object, the tendency of the object to rotate about a point is known as its moment. If multiple forces are acting on an object, the sum of moments of all the forces acting on a body can be expressed as the resultant moment of the system. The resultant moment can be considered a vector quantity that can be added and subtracted like any other vector.
The resultant moment of a system of forces can be calculated through vector formulation. For example, if we consider...
3.9K

You might also read

Related Articles

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

Sort by
Same author

HiCP2GAN: A Plug and Play Foundation Model-based GAN for Hi-C Enhancement.

bioRxiv : the preprint server for biology·2026
Same author

ASPECT: Alternative Splicing Event Classification with Transformers.

bioRxiv : the preprint server for biology·2026
Same author

EmbedTAD Using Graph Embedding and Unsupervised Learning to Identify TADs from High-Resolution Hi-C Data.

Communications biology·2025
Same author

Unicorn: enhancing single-cell Hi-C data with blind super-resolution for 3D genome structure reconstruction.

Bioinformatics (Oxford, England)·2025
Same author

HiCForecast: dynamic network optical flow estimation algorithm for spatiotemporal Hi-C data forecasting.

Bioinformatics (Oxford, England)·2025
Same author

A constitutive heterochromatic region shapes genome organization and impacts gene expression in Neurospora crassa.

BMC genomics·2024

Related Experiment Video

Updated: Feb 4, 2026

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
10:41

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

9.6K

Robin: an advanced tool for comparative loop caller result analysis leveraging large language models.

H M A Mohit Chowdhury1,2, Mattie Fuller3, Oluwatosin Oluwadare1,2,3

  • 1Department of Computer Science and Engineering, University of North Texas, 1155 Union Circle, Denton, TX 76203, United States.

NAR Genomics and Bioinformatics
|February 2, 2026
PubMed
Summary
This summary is machine-generated.

Genomics research now has Robin, a platform for analyzing chromosome loop detection algorithms. This tool aids in comparing loop callers and visualizing results, accelerating genomic discovery.

More Related Videos

Leveraging Virtual Reality for Immersive Segmentation and Analysis of Cryo-Electron Tomography Data
07:17

Leveraging Virtual Reality for Immersive Segmentation and Analysis of Cryo-Electron Tomography Data

Published on: January 24, 2025

1.4K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

1.2K

Related Experiment Videos

Last Updated: Feb 4, 2026

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
10:41

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

9.6K
Leveraging Virtual Reality for Immersive Segmentation and Analysis of Cryo-Electron Tomography Data
07:17

Leveraging Virtual Reality for Immersive Segmentation and Analysis of Cryo-Electron Tomography Data

Published on: January 24, 2025

1.4K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

1.2K

Area of Science:

  • Genomics
  • Computational Biology
  • Bioinformatics

Background:

  • Genomics research has advanced rapidly, with significant progress in chromosome loop detection algorithms (loop callers).
  • Existing loop callers lack a unified platform for analyzing, comparing, and benchmarking their results.
  • A dedicated platform is essential for accelerating research and validating new loop detection methods.

Purpose of the Study:

  • To introduce Robin, an advanced, ready-to-go platform for the comparative analysis of loop caller results.
  • To provide a comprehensive tool for evaluating the reliability and effectiveness of chromosome loop detection algorithms.
  • To leverage large language models (LLMs) for enhanced analysis and visualization.

Main Methods:

  • Development of Robin, a web server for analyzing loop caller outputs.
  • Integration with HiGlass for interactive visualization of Hi-C matrices and loop annotations.
  • Incorporation of LLM capabilities for natural language-driven plot and figure generation.

Main Results:

  • Robin offers comprehensive analysis metrics, including recovery and overlap, for loop caller results.
  • The platform enables interactive, multi-resolution visualization of genomic data and loop structures.
  • Users can generate customized plots via natural language instructions, simplifying data interpretation.

Conclusions:

  • Robin is a robust and comprehensive tool for loop caller result analysis and visualization.
  • The platform facilitates the validation and comparison of chromosome loop detection methods.
  • Robin is publicly accessible, promoting wider adoption and advancement in genomics research.