Evidence map›Paper›PMID 23677617›Full record

ArticleNucleic acids research2013

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

Omar Wagih, Matej Usaj, Anastasia Baryshnikova, Benjamin VanderSluis, Elena Kuzmin, Michael Costanzo, Chad L Myers, Brenda J Andrews, Charles M Boone, Leopold Parts

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

98 citing papers in PubMed, 192 citations in OpenAlex.

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  12. New reporters for monitoring cellular NMD.RNA (New York, N.Y.) · 2025
    Article
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  15. Article
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  17. Article
  18. Article
  19. Article
  20. Article

38 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Omar WagihDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, M5S 3E1, Canada.
Matej Usaj
Anastasia Baryshnikova
Benjamin VanderSluis
Elena Kuzmin
Michael Costanzo
Chad L Myers
Brenda J Andrews
Charles M Boone
Leopold Parts
University of Minnesota System · USUniversity of Minnesota · USUniversity of Toronto · CA

Funding

Mapping the reference genetic network of a eukaryotic cellR01HG005853 · NHGRI · UNIVERSITY OF TORONTO · PI ANDREWS, BRENDA JEAN, BOONE, CHARLES · 2010 to 2025
$7.6M
Methods for large-scale analysis of chemical-genetic interactionsR01HG005084 · NHGRI · UNIVERSITY OF MINNESOTA · PI MYERS, CHAD L · 2010 to 2022
$2.9M
Canadian Institutes of Health Research MOP-102629NHGRI NIH HHS 1R01HG005084-01A1NHGRI NIH HHS 1R01HG005853-01
6 · The paper itself

Abstract

Screening genome-wide sets of mutants for fitness defects provides a simple but powerful approach for exploring gene function, mapping genetic networks and probing mechanisms of drug action. For yeast and other microorganisms with global mutant collections, genetic or chemical-genetic interactions can be effectively quantified by growing an ordered array of strains on agar plates as individual colonies, and then scoring the colony size changes in response to a genetic or environmental perturbation. To do so, requires efficient tools for the extraction and analysis of quantitative data. Here, we describe SGAtools (http://sgatools.ccbr.utoronto.ca), a web-based analysis system for designer genetic screens. SGAtools outlines a series of guided steps that allow the user to quantify colony sizes from images of agar plates, correct for systematic biases in the observations and calculate a fitness score relative to a control experiment. The data can also be visualized online to explore the colony sizes on individual plates, view the distribution of resulting scores, highlight genes with the strongest signal and perform Gene Ontology enrichment analysis.

Indexed as

Gene DeletionMicroarray AnalysisSoftwareComputer GraphicsGenetic FitnessImage Processing, Computer-AssistedInternetYeasts

Identifiers

PMID23677617
PMCPMC3692131
OpenAlexW2107546215

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.