Evidence map›Paper›PMID 12626739›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2003

Integrating regulatory motif discovery and genome-wide expression analysis.

Erin M Conlon, X Shirley Liu, Jason D Lieb, Jun S Liu

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 135 papers.

0numbers the graph read from it
0cells of the map it votes in
135citing 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

135 citing papers in PubMed.

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  10. Molecular networks in Network Medicine: Development and applications.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
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75 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

4 authors.

Erin M ConlonDepartment of Statistics, Harvard University, 1 Oxford Street, Cambridge, MA 02138, USA.
X Shirley Liu
Jason D Lieb
Jun S Liu

Funding

Computational Haplotype Analysis for SNPsR01HG002518 · NHGRI · HARVARD UNIVERSITY · PI LIU, JUN S · 2002 to 2010
$2.5M
Statistical and Bioinformatic Methods for Genomic DataF37LM007626 · NLM · HARVARD UNIVERSITY · PI CONLON, ERIN M · 2002 to 2003
$81k
NHGRI NIH HHS R01 HG002518NHGRI NIH HHS R01 HG 02518-01NLM NIH HHS 1F37 LM 07626-01NLM NIH HHS F37 LM007626
6 · The paper itself

Abstract

We propose motif regressor for discovering sequence motifs upstream of genes that undergo expression changes in a given condition. The method combines the advantages of matrix-based motif finding and oligomer motif-expression regression analysis, resulting in high sensitivity and specificity. motif regressor is particularly effective in discovering expression-mediating motifs of medium to long width with multiple degenerate positions. When applied to Saccharomyces cerevisiae, motif regressor identified the ROX1 and YAP1 motifs from Rox1p and Yap1p overexpression experiments, respectively; predicted that Gcn4p may have increased activity in YAP1 deletion mutants; reported a group of motifs (including GCN4, PHO4, MET4, STRE, USR1, RAP1, M3A, and M3B) that may mediate the transcriptional response to amino acid starvation; and found all of the known cell-cycle regulation motifs from 18 expression microarrays over two cell cycles.

Indexed as

AlgorithmsBase SequenceCell CycleDNA, FungalGene Expression ProfilingGenes, FungalGenes, RegulatorGenomicsLinear ModelsOligonucleotide Array Sequence AnalysisSaccharomyces cerevisiaeDNA, Fungal

Identifiers

PMID12626739
PMCPMC152294

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.