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Related Concept Videos

DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
MicroRNAs01:22

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA ends...
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Comparing Copy Number Variations and SNPs

Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
Complementary DNA01:44

Complementary DNA

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Related Experiment Video

Updated: Jul 5, 2026

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
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Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

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CoPub: a literature-based keyword enrichment tool for microarray data analysis.

Raoul Frijters1, Bart Heupers, Pieter van Beek

  • 1Computational Drug Discovery (CDD),, Nijmegen Centre for Molecular Life Sciences (NCMLS), Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.

Nucleic Acids Research
|April 30, 2008
PubMed
Summary
This summary is machine-generated.

CoPub is a free tool that interprets microarray data by linking genes to biological keywords found in Medline abstracts. It visualizes gene-keyword networks, identifying key genes for biological insights.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Medline database contains extensive information linking genes to biological processes, pathways, drugs, pathologies, and diseases.
  • Biological interpretation of microarray data requires efficient extraction of gene-keyword associations.

Purpose of the Study:

  • To develop a publicly available tool, CoPub, for the biological interpretation of microarray data.
  • To facilitate the identification of significant keyword associations with user-input genes from the Medline database.

Main Methods:

  • CoPub accepts batch input of multiple genes (human, mouse, or rat).
  • It identifies keywords from biomedical thesauri significantly correlated with the input gene sets.
  • The tool links keywords to Medline abstracts and highlights co-occurring genes and keywords.

Main Results:

  • CoPub generates lists of significantly correlated keywords for input genes.
  • It provides links to Medline abstracts with highlighted gene-keyword co-occurrences.
  • The tool visualizes differentially expressed genes and over-represented keywords in a network, identifying influential genes as hubs.

Conclusions:

  • CoPub offers a valuable resource for the biological interpretation of microarray data.
  • The tool enhances understanding of gene-keyword relationships and identifies key genes in biological networks.
  • CoPub is freely accessible, supporting biological research and discovery.