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

You might also read

Related Articles

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

Sort by
Same author

Integrated miRNAome-transcriptome analyses identify an immuno-hematopoietic subcluster in patients with long COVID.

The Journal of allergy and clinical immunology·2026
Same author

Transcriptomic rewiring of the JAK-STAT pathway in circulating CD4<sup>+</sup>CLA<sup>+</sup> and CD4<sup>+</sup> naïve T cells from patients with atopic dermatitis and psoriasis.

Frontiers in immunology·2026
Same author

The Indoor Microbiome: Sampling, Analysis and Emerging Trends.

Environmental microbiology reports·2026
Same author

Lifestyle associates with unique resistome and microbiome signatures in children.

BMC microbiology·2026
Same author

Integrated Methylome-Transcriptome Analysis Reveals Epigenomic Remodeling and Rho GTPase-Linked Immune-Epithelial Crosstalk in Atopic Dermatitis.

Allergy·2026
Same author

MUUMI: an R package for statistical and network-based meta-analysis for multi-omics data integration.

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
Same journal

SimMapNet: a Bayesian framework for gene regulatory network inference using gene ontology similarities as external hint.

BMC bioinformatics·2026
Same journal

Dual channel drug-drug interactions extraction based on cross attention.

BMC bioinformatics·2026
Same journal

FeSseqdb: a curated sequence-level database and interpretable machine learning framework for identifying iron-sulfur proteins.

BMC bioinformatics·2026
See all related articles

Related Experiment Video

Updated: Nov 15, 2025

Author Spotlight: Automated Lifespan Monitoring &#8211; Discovering Aging Dynamics with the Lifespan Machine
08:53

Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine

Published on: January 26, 2024

1.4K

BACA: bubble chArt to compare annotations.

Vittorio Fortino1,2, Harri Alenius3,4, Dario Greco5,6

  • 1Unit of Systems Toxicology, Finnish Institute of Occupational Health (FIOH), Topeliuksenkatu 41b, 00250, Helsinki, Finland. vittorio.fortino@ttl.fi.

BMC Bioinformatics
|February 6, 2015
PubMed
Summary
This summary is machine-generated.

We developed BACA, a new R package for comparing multiple gene list enrichment analyses from DAVID. This tool visually integrates results, simplifying interpretation of large datasets in high-throughput experiments.

More Related Videos

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

11.7K
Rapid Analysis and Exploration of Fluorescence Microscopy Images
11:41

Rapid Analysis and Exploration of Fluorescence Microscopy Images

Published on: March 19, 2014

12.5K

Related Experiment Videos

Last Updated: Nov 15, 2025

Author Spotlight: Automated Lifespan Monitoring &#8211; Discovering Aging Dynamics with the Lifespan Machine
08:53

Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine

Published on: January 26, 2024

1.4K
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

11.7K
Rapid Analysis and Exploration of Fluorescence Microscopy Images
11:41

Rapid Analysis and Exploration of Fluorescence Microscopy Images

Published on: March 19, 2014

12.5K

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • DAVID is a widely used tool for interpreting gene and protein lists from high-throughput experiments.
  • Analyzing multiple gene lists with DAVID is challenging due to a lack of effective visualization for comparison.

Purpose of the Study:

  • To develop a novel R-based tool for visualizing and comparing enrichment analysis results from multiple gene lists.
  • To address the limitations of the DAVID website in handling comparative analyses of multiple datasets.

Main Methods:

  • Implementation of BACA (Bubble chArt to Compare Annotations) as an R package.
  • Utilizing the DAVID web service for cross-comparing enrichment analysis results.
  • Developing a graphical tool for concise and informative visualization of comparative enrichment data.

Main Results:

  • BACA provides a graphical interface for comparing enrichment analyses across multiple gene lists.
  • The tool integrates multiple annotation charts into a single output graph.
  • BACA leverages the DAVID web service for data retrieval and analysis.

Conclusions:

  • The BACA package facilitates the comparison of multiple DAVID enrichment analyses for R users.
  • It offers an improved method for visualizing and interpreting complex genomic data.
  • BACA enhances the utility of DAVID for researchers working with multiple gene lists.