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

Structural Classification of Joints01:20

Structural Classification of Joints

Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
Functional Classification of Joints01:09

Functional Classification of Joints

Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An immobile...
Variability: Analysis01:11

Variability: Analysis

Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
Stability of structures01:14

Stability of structures

In mechanical engineering, the stability of systems under various forces is critical for designing durable and efficient structures. One fundamental way to explore these concepts is by analyzing systems like two rods connected at a pivot point, O, with a torsional spring of spring constant k at the pivot point. This system is similar in appearance to a scissor jack used to change tires on a car. In this case, the arms of the linkage (equivalent to the rods in this system) are entirely vertical,...
Impact of Schemas01:30

Impact of Schemas

Schemas are cognitive structures that provide a framework for interpreting and organizing social information. They help individuals navigate complex environments by offering expectations about people, events, and behaviors. Schemas influence attention, encoding, and retrieval processes, thereby shaping the entire trajectory of information processing in social contexts.Attention and Cognitive LoadDuring initial attention, schemas function as filters that prioritize schema-consistent information,...
Residual Plots01:07

Residual Plots

A residual plot is a statistical representation of data used to analyze correlation and regression results. It helps verify the requirements for drawing specific conclusions about correlation and regression. To obtain the residual plot, first, the residual for each data value is calculated, which is simply the vertical distance between the observed and the predicted value obtained from the regression equation.
When the residual values are plotted against the variable x, it is called a residual...

You might also read

Related Articles

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

Sort by
Same author

Prognosis prediction for end-stage pancreatic cancer with home medical care: A retrospective cohort study conducted at multiple institutions in Hiroshima.

BMC palliative care·2026
Same author

Unilateral damage to the entopeduncular nucleus causes dysfunction in skilled forelimb movement and hinders recovery in rats.

Neuroscience letters·2026
Same author

From forest to farm: the impact of a broad spectrum of lifestyles on the porcine gut microbiota.

Current research in microbial sciences·2026
Same author

Right pulmonary agenesis with ventricular septal defect and partial anomalous left pulmonary artery sling: a case report.

Cardiology in the young·2026
Same author

Inhibition of <i>Porphyromonas gingivalis</i>-Induced Respiratory Inflammation by an Alkaline Extract of <i>Sasa senanensis</i> Leaves.

Pathogens (Basel, Switzerland)·2026
Same author

The impact of early-life rearing conditions on the porcine gut microbiota and immune system.

Animal microbiome·2025
Same journal

conMItion: an R package adjusting confounding factors for associations in multi-omics.

Bioinformatics (Oxford, England)·2026
Same journal

SpaMFG: a Spatial Multi-omics Integration Method based on Feature Grouping.

Bioinformatics (Oxford, England)·2026
Same journal

CSCN: Inference of Cell-Specific Causal Networks Using Single-Cell RNA-Seq Data.

Bioinformatics (Oxford, England)·2026
Same journal

Sparse CCA-Based Mediation Analysis with High-Dimensional Exposures and Mediators.

Bioinformatics (Oxford, England)·2026
Same journal

Enhancing Cross-Context Generalization in Drug Perturbation Prediction with a Multimodal Conditional Diffusion Framework.

Bioinformatics (Oxford, England)·2026
Same journal

Primer Design through Submodular Function Estimation.

Bioinformatics (Oxford, England)·2026
See all related articles

Related Experiment Video

Updated: May 10, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Pipit: visualizing functional impacts of structural variations.

Ryo Sakai1, Matthieu Moisse, Joke Reumers

  • 1Department of Electrical Engineering-ESAT, KU Leuven, SCD-SISTA, Leuven, Belgium. ryo.sakai@esat.kuleuven.be

Bioinformatics (Oxford, England)
|June 28, 2013
PubMed
Summary
This summary is machine-generated.

Pipit is a new gene-centric tool for visualizing structural genomic variations. This interactive application helps researchers study the biological impact of genomic alterations, such as gene deletions or fusions.

More Related Videos

Mapping Dysfunctional Protein-Protein Interactions in Disease
09:39

Mapping Dysfunctional Protein-Protein Interactions in Disease

Published on: October 24, 2025

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
08:35

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

Related Experiment Videos

Last Updated: May 10, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Mapping Dysfunctional Protein-Protein Interactions in Disease
09:39

Mapping Dysfunctional Protein-Protein Interactions in Disease

Published on: October 24, 2025

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
08:35

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Structural genomic variations can significantly impact gene function and biological processes.
  • Understanding these variations is crucial for disease research and genetic studies.

Purpose of the Study:

  • To introduce Pipit, a novel interactive visualization tool for studying structural genomic variations.
  • To provide researchers with a gene-centric approach for analyzing the biological impact of genomic alterations.

Main Methods:

  • Pipit is a cross-platform Java application.
  • It visualizes structural variation data from Genome Variation Format (GVF) files.
  • The tool focuses on individual genes as the primary unit of analysis.

Main Results:

  • Pipit enables researchers to interactively explore structural variations.
  • The gene-centric approach facilitates hypothesis generation regarding the biological consequences of variations.
  • Examples include analyzing deletions of dosage-sensitive genes and the formation of fusion genes.

Conclusions:

  • Pipit offers a valuable resource for the genomic research community.
  • The tool enhances the study of structural variations by providing a focused, gene-level perspective.
  • It supports the investigation of gene deletions and fusion gene formation for a deeper understanding of genomic variation impact.