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Related Concept Videos

Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
Genetic Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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...

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Updated: Jun 8, 2026

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
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Published on: May 22, 2018

GeneMANIA Cytoscape plugin: fast gene function predictions on the desktop.

J Montojo1, K Zuberi, H Rodriguez

  • 1Banting and Best Department of Medical Research, The Donnelly Centre, University of Toronto, 160 College Street, Toronto, ON, M5S 3E1, Canada.

Bioinformatics (Oxford, England)
|October 8, 2010
PubMed
Summary

The GeneMANIA Cytoscape plugin offers rapid gene function prediction using guilt-by-association. It analyzes over 800 networks across six organisms, allowing users to integrate their own data for enhanced gene discovery.

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09:37

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Published on: August 15, 2019

Area of Science:

  • Bioinformatics
  • Systems Biology
  • Computational Biology

Background:

  • Gene function prediction is crucial for understanding biological pathways.
  • Existing tools often lack integration with desktop analysis environments.
  • The guilt-by-association method leverages network information for inference.

Purpose of the Study:

  • To introduce the GeneMANIA Cytoscape plugin for desktop-based gene function prediction.
  • To provide a user-friendly interface for exploring gene-gene association networks.
  • To enable the integration of custom biological network data.

Main Methods:

  • The GeneMANIA plugin utilizes a guilt-by-association algorithm.
  • It incorporates over 800 pre-existing interaction networks from six species.
  • The plugin is implemented in Java and integrates with the Cytoscape platform.

Main Results:

  • GeneMANIA facilitates fast identification of related genes to query sets.
  • Predictions are traceable to specific source networks.
  • Users can augment or replace default data with personal interaction networks and expression profiles.

Conclusions:

  • The GeneMANIA Cytoscape plugin enhances gene function prediction accessibility.
  • It supports personalized biological network analysis on a desktop.
  • The tool aids in biological discovery through network-based gene association.