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Related Concept Videos

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...
Epistasis Analysis01:09

Epistasis Analysis

Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...

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Related Experiment Video

Updated: May 11, 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

SGAtools: one-stop analysis and visualization of array-based genetic interaction screens.

Omar Wagih1, Matej Usaj, Anastasia Baryshnikova

  • 1Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, M5S 3E1, Canada.

Nucleic Acids Research
|May 17, 2013
PubMed
Summary
This summary is machine-generated.

SGAtools is a new web-based system for analyzing genetic screens. It helps researchers quantify colony sizes, correct biases, and calculate fitness scores for exploring gene function.

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Last Updated: May 11, 2026

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
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Area of Science:

  • Genetics and Genomics
  • Systems Biology
  • Bioinformatics

Background:

  • Genome-wide mutant screening is crucial for understanding gene function, genetic networks, and drug mechanisms.
  • Quantifying genetic or chemical-genetic interactions in microorganisms often involves analyzing colony size changes from agar plate assays.
  • Efficient tools are needed for extracting and analyzing quantitative data from these screens.

Purpose of the Study:

  • To introduce SGAtools, a web-based analysis system designed for designer genetic screens.
  • To provide a user-friendly platform for quantifying and analyzing fitness defects in mutant collections.
  • To facilitate the exploration of gene function and genetic interactions through quantitative data analysis.

Main Methods:

  • SGAtools guides users through quantifying colony sizes from agar plate images.
  • The system corrects for systematic biases in observational data.
  • It calculates fitness scores relative to control experiments for perturbation analysis.

Main Results:

  • SGAtools enables efficient extraction and analysis of quantitative data from genetic screens.
  • The system allows for online visualization of colony sizes, score distributions, and significant genes.
  • Gene Ontology (GO) enrichment analysis can be performed to interpret results.

Conclusions:

  • SGAtools offers a comprehensive solution for analyzing genome-wide genetic screens.
  • The system simplifies the process of identifying gene function and genetic interactions.
  • It empowers researchers to gain deeper insights into biological systems through quantitative genetic analysis.