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Related Concept Videos

Gene Families01:57

Gene Families

Gene families consist of groups of genes proposed to have originated from a common ancestor. Typically these arise through events in which a gene or genes are mistakenly duplicated during cell division. Unlike their parent genes (which are subject to selection pressure to maintain function), these gene copies do not need to preserve their sequences and may evolve at a relatively faster rate.
Occasionally these regions can be adapted to take on new roles within the organism, becoming novel genes...
Gene Families01:57

Gene Families

Gene families consist of groups of genes proposed to have originated from a common ancestor. Typically these arise through events in which a gene or genes are mistakenly duplicated during cell division. Unlike their parent genes (which are subject to selection pressure to maintain function), these gene copies do not need to preserve their sequences and may evolve at a relatively faster rate.
Occasionally these regions can be adapted to take on new roles within the organism, becoming novel genes...
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
Causes of Similarity-Dissimilarity Effect01:26

Causes of Similarity-Dissimilarity Effect

The similarity-dissimilarity effect, a fundamental concept in social psychology, explains how interpersonal similarities and differences influence attraction and social interactions. This effect is supported by three key psychological perspectives: balance theory, social comparison theory, and consensual validation.Balance Theory and Cognitive ConsistencyBalance theory, developed by Fritz Heider, posits that individuals seek cognitive consistency in their relationships. When two people share...
Combinatorial Gene Control02:33

Combinatorial Gene Control

Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
Comparing Copy Number Variations and SNPs02:26

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%...

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Related Experiment Video

Updated: May 29, 2026

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

GO-based functional dissimilarity of gene sets.

Norberto Díaz-Díaz1, Jesús S Aguilar-Ruiz

  • 1School of Engineering, Pablo de Olavide University, Seville, Spain. ndiaz@upo.es

BMC Bioinformatics
|September 3, 2011
PubMed
Summary

We developed GO-based Functional Dissimilarity (GFD), a novel measure to assess gene set functional similarity. GFD robustly evaluates gene groups by focusing on their most relevant functions, outperforming existing methods.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Gene Ontology (GO) provides a controlled vocabulary for gene functions.
  • Existing functional coherence measures often rely on pairwise gene comparisons.
  • Understanding functional similarity is crucial for interpreting biological processes.

Purpose of the Study:

  • To introduce a novel dissimilarity measure for evaluating gene sets.
  • To assess the functional relevance of entire gene groups.
  • To quantify functional coherence for biological process clarification.

Main Methods:

  • Developed GO-based Functional Dissimilarity (GFD), a new measure.
  • GFD evaluates gene sets based on their most relevant functions.
  • Assigns a numerical value for each of the three GO sub-ontologies.

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Main Results:

  • GFD demonstrates robust performance on gene sets with known functionality (KEGG).
  • The measure performs well on randomly generated gene sets.
  • ROC analysis indicates satisfactory performance in evaluating functional dissimilarity.

Conclusions:

  • GFD is a robust measure for assessing functional dissimilarity of gene sets.
  • Comparative analysis shows GFD is superior to existing methods like GS2, Resnik, and Wang.
  • GFD effectively clarifies the role of gene groups in biological processes.