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

WebArray: an online platform for microarray data analysis.

Xiaoqin Xia1, Michael McClelland, Yipeng Wang

  • 1Genomic Core Facility, Sidney Kimmel Cancer Center, San Diego, CA 92121, USA. xxia@skcc.org

BMC Bioinformatics
|December 24, 2005
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

Predicting time-to-event outcomes in critically ill patients with intracerebral hemorrhage using machine learning.

The Journal of international medical research·2026
Same author

A screen of Salmonella enterica mutants interacting with fresh onions and alfalfa sprouts.

International journal of food microbiology·2026
Same author

YeiE regulates YeiH to implement sulfite stress resistance in <i>Salmonella enterica</i> serotype Typhimurium.

Journal of bacteriology·2026
Same author

Molybdenum-independent [4Fe-4S]-Catalyzed Sulfate Assimilation Sustains <i>Salmonella</i> Virulence.

Research square·2025
Same author

Amino acid decarboxylation preserves <i>Salmonella</i> fitness during phagocyte-derived oxidative stress.

mBio·2025
Same author

Genomic factors contributing to the resilience of Salmonella enterica on ready-to-eat muskmelon.

Food microbiology·2025
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

WebArray is a free online platform that simplifies complex microarray data analysis for biologists. It provides user-friendly access to powerful tools like limma and affy, making advanced analysis accessible without extensive technical expertise.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Microarray analysis tools often require advanced statistical and computational skills.
  • Commercial software offers user-friendliness but at a high cost.
  • Bench biologists face challenges in accessing and implementing sophisticated microarray analysis algorithms.

Purpose of the Study:

  • To develop an accessible, open-platform solution for microarray data analysis.
  • To empower bench biologists with advanced analytical capabilities.
  • To facilitate the exploration of single/dual color microarray experimental data.

Main Methods:

  • Development of the WebArray online platform.
  • Integration of Bioconductor packages (limma, affy).

Related Experiment Videos

  • Implementation of methods including SPLOSH, PCA-assisted normalization, and genome mapping.

    • Main Results:

    • WebArray provides a user-friendly interface for complex microarray analysis.
    • Key functions include quality weighting, background correction, normalization, and statistical analysis (FDR estimation).
    • The platform supports chromosomal mapping for genome comparison.

    Conclusions:

    • WebArray offers a convenient and free platform for accessing cutting-edge microarray analysis tools.
    • The platform is accessible to biologists without extensive programming or statistical knowledge.
    • WebArray is freely available online and runs on a Linux server.