Evidence map›Paper›PMID 16166654›Full record

ArticleNucleic acids research2005

Improved statistical analysis of budding yeast TAG microarrays revealed by defined spike-in pools.

Brian D Peyser, Rafael A Irizarry, Carol W Tiffany, Ou Chen, Daniel S Yuan, Jef D Boeke, Forrest A Spencer

Abstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

7 authors.

Brian D PeyserMcKusick-Nathans Institute of Genetic Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Rafael A Irizarry
Carol W Tiffany
Ou Chen
Daniel S Yuan
Jef D Boeke
Forrest A Spencer

Funding

YEAST GENETIC INTERACTION MAPR01HG002432 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI BOEKE, JEF D · 2002 to 2008
$11.8M
NHGRI NIH HHS HG02432NHGRI NIH HHS R01 HG002432
6 · The paper itself

Abstract

Saccharomyces cerevisiae knockout collection TAG microarrays are an emergent platform for rapid, genome-wide functional characterization of yeast genes. TAG arrays report abundance of unique oligonucleotide 'TAG' sequences incorporated into each deletion mutation of the yeast knockout collection, allowing measurement of relative strain representation across experimental conditions for all knockout mutants simultaneously. One application of TAG arrays is to perform genome-wide synthetic lethality screens, known as synthetic lethality analyzed by microarray (SLAM). We designed a fully defined spike-in pool to resemble typical SLAM experiments and performed TAG microarray hybridizations. We describe a method for analyzing two-color array data to efficiently measure the differential knockout strain representation across two experimental conditions, and use the spike-in pool to show that the sensitivity and specificity of this method exceed typical current approaches.

Indexed as

Sequence Tagged SitesData Interpretation, StatisticalFluorescent DyesGenes, LethalGenome, FungalGenomicsOligonucleotide Array Sequence AnalysisSaccharomyces cerevisiaeSequence DeletionFluorescent Dyes

Identifiers

PMID16166654
PMCPMC1216341

What OpenQuestion holds

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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.