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 Videos

GFINDer: Genome Function INtegrated Discoverer through dynamic annotation, statistical analysis, and mining.

Marco Masseroli1, Dario Martucci, Francesco Pinciroli

  • 1Bioengineering Department, Politecnico di Milano, I-20133 Milano, Italy. masseroli@biomed.polimi.it

Nucleic Acids Research
|June 25, 2004
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

RAAVioli: A comprehensive approach to characterizing AAV vector integrations and rearrangements.

Molecular therapy. Advances·2026
Same author

Longitudinal and combined assessment of 24(S)-hydroxycholesterol and Neurofilament light chain in the early stages of Huntington's disease.

Neurobiology of disease·2026
Same author

Cross-Generational Validation of a Feedforward Neural Network for Milk Yield Prediction in Dairy Cattle.

Animals : an open access journal from MDPI·2026
Same author

Understanding the impact of sleep on cardiovascular risk estimation: comparison of LS7 and LE8 performances in a European population.

American journal of preventive cardiology·2026
Same author

BioGAN: Enhancing Transcriptomic Data Generation with Biological Knowledge.

Bioengineering (Basel, Switzerland)·2025
Same author

A novel machine learning-based workflow to capture intra-patient heterogeneity through transcriptional multi-label characterization and clinically relevant classification.

Journal of biomedical informatics·2025
Same journal

Correction to 'scSuperAnnotator: A platform for benchmarking comparison and visualizing automated cellular annotation methods for scRNA-seq data'.

Nucleic acids research·2026
Same journal

Correction to 'Differentiable partition function calculation for RNA'.

Nucleic acids research·2026
Same journal

Deployment of non-canonical splicing in tunicate genomes is mediated by divergent U2AF function and changing m6A modification in U1 and U6 snRNA.

Nucleic acids research·2026
Same journal

Bacillus subtilis DnaB forms multiple protein-protein interactions essential for DNA replication initiation.

Nucleic acids research·2026
Same journal

Multiple forms of protein-protein and DNA binding are exhibited by BrxC from the BREX phage restriction system.

Nucleic acids research·2026
Same journal

Biosynthesis of glycosylated 5-hydroxycytosine in the DNA of diverse viruses.

Nucleic acids research·2026
See all related articles

Interpreting gene expression data requires biological context. GFINDer, a new web server, aids researchers by automatically annotating and statistically evaluating gene lists from microarray experiments.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Microarray analysis generates large gene lists requiring biological interpretation.
  • Existing tools often lack methods for evaluating annotation relevance or functional bias.

Purpose of the Study:

  • To develop a web server, GFINDer, for automated biological interpretation of gene lists from microarray experiments.
  • To provide methods for evaluating annotation relevance and functional bias.

Main Methods:

  • GFINDer integrates diverse biological annotation databases.
  • It identifies enriched functional categories within user-classified gene lists.
  • Statistical significance is calculated for enriched categories.

Main Results:

Related Experiment Videos

  • GFINDer automatically retrieves and analyzes gene annotations.
  • It characterizes gene classes by their functional profiles.
  • Statistical analysis of classifications aids interpretation.

Conclusions:

  • GFINDer facilitates the biological interpretation of large gene lists from microarray data.
  • The tool enhances understanding of patho-physiological phenomena by providing statistically validated functional insights.