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 Experiment Video

Updated: Jul 5, 2026

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

A visual analytics approach for understanding biclustering results from microarray data.

Rodrigo Santamaría1, Roberto Therón, Luis Quintales

  • 1Departamento de Informática y Automática, Universidad de Salamanca, Pz, de Los Caídos S/N, 37007 Salamanca, Spain. rodri@usal.es

BMC Bioinformatics
|May 29, 2008
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Sequence bias in chromatin fragmentation leads to misinterpretation of protein-DNA interactions in vivo.

Genome biology·2026
Same author

Asymmetrical nucleosomal DNA signatures regulate transcriptional directionality.

Cell reports·2023
Same author

Nitric Oxide Metabolism Affects Germination in <i>Botrytis</i><i>cinerea</i> and Is Connected to Nitrate Assimilation.

Journal of fungi (Basel, Switzerland)·2022
Same author

An evaluation study of biclusters visualization techniques of gene expression data.

Journal of integrative bioinformatics·2021
Same author

Taking advantage of the software product line paradigm to generate customized user interfaces for decision-making processes: a case study on university employability.

PeerJ. Computer science·2021
Same author

A Meta-Model Integration for Supporting Knowledge Discovery in Specific Domains: A Case Study in Healthcare.

Sensors (Basel, Switzerland)·2020
Same journal

Covariance decomposition for distance based species tree estimation.

BMC bioinformatics·2026
Same journal

SNPio: a Python interface for population genomic data processing.

BMC bioinformatics·2026
Same journal

SpaHNR: a spatial domain identification method via sparse attention-based hierarchical node representation and multi-view contrastive learning.

BMC bioinformatics·2026
Same journal

OpenIMC: an open-source platform for analyzing single-cell and spatial proteomics by imaging mass cytometry.

BMC bioinformatics·2026
Same journal

NAP: an open source pipeline for cross-domain microbiome profiling using Nanopore sequencing-derived amplicon data.

BMC bioinformatics·2026
Same journal

SurvGME: an R package for survival analysis with graphical and measurement error models.

BMC bioinformatics·2026
See all related articles

This study introduces BicOverlapper, an interactive framework for visualizing microarray data biclustering results. It helps researchers identify robust gene and condition groupings through linked representations and a novel force-directed graph visualization.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Microarray analysis is a key area in bioinformatics.
  • Biclustering is a popular method for classifying microarray data.
  • Limited effort has been dedicated to representing biclustering results.

Purpose of the Study:

  • To present an interactive framework for analyzing biclustering results.
  • To facilitate the inference of similarities and differences between bicluster outputs.
  • To highlight robust groupings of genes and conditions in microarray data.

Main Methods:

  • Development of an interactive framework named BicOverlapper.
  • Implementation of linked representations for bicluster comparison.
  • Introduction of a force-directed graph visualization technique for biclusters.

Related Experiment Videos

Last Updated: Jul 5, 2026

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

Main Results:

  • The framework enables identification of trends and robust gene/condition groupings.
  • Linked representations complement biological analysis and reduce interpretation time.
  • A novel visualization technique represents biclusters as overlapping groups of genes and conditions.

Conclusions:

  • The visualization technique effectively highlights overlapping zones representing robust biological groups.
  • The visual analytics approach aids biology experts in interpreting complex biclustering results.
  • BicOverlapper simplifies the study of extensive biclustering outputs without individual inspection.