Evidence map›Paper›PMID 22102575›Full record

ArticleNucleic acids research2012

YeTFaSCo: a database of evaluated yeast transcription factor sequence specificities.

Carl G de Boer, Timothy R Hughes

Abstract read
In one paragraph

Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers.

0numbers the graph read from it
0cells of the map it votes in
128citing 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

128 citing papers in PubMed.

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  18. Optimization of regulatory DNA with active learning.Computational and structural biotechnology journal · 2025
    Article
  19. Article
  20. Article

68 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

2 authors.

Carl G de BoerDepartment of Molecular Genetics, Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Canada.
Timothy R Hughes

Funding

Canadian Institutes of Health Research MOP-490425Canadian Institutes of Health Research MOP-86705
6 · The paper itself

Abstract

The yeast Saccharomyces cerevisiae is a prevalent system for the analysis of transcriptional networks. As a result, multiple DNA-binding sequence specificities (motifs) have been derived for most yeast transcription factors (TFs). However, motifs from different studies are often inconsistent with each other, making subsequent analyses complicated and confusing. Here, we have created YeTFaSCo (The Yeast Transcription Factor Specificity Compendium, http://yetfasco.ccbr.utoronto.ca/), an extensive collection of S. cerevisiae TF specificities. YeTFaSCo differs from related databases by being more comprehensive (including 1709 motifs for 256 proteins or protein complexes), and by evaluating the motifs using multiple objective quality metrics. The metrics include correlation between motif matches and ChIP-chip data, gene expression patterns, and GO terms, as well as motif agreement between different studies. YeTFaSCo also features an index of 'expert-curated' motifs, each associated with a confidence assessment. In addition, the database website features tools for motif analysis, including a sequence scanning function and precomputed genome-browser tracks of motif occurrences across the entire yeast genome. Users can also search the database for motifs that are similar to a query motif.

Indexed as

Databases, GeneticNucleotide MotifsRegulatory Elements, TranscriptionalBinding SitesChromatin ImmunoprecipitationDNA, FungalGene Expression ProfilingGenome, FungalInternetPromoter Regions, GeneticSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSequence Analysis, DNATranscription FactorsDNA, FungalSaccharomyces cerevisiae ProteinsTranscription Factors

Identifiers

PMID22102575
PMCPMC3245003

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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.