Evidence map›Paper›PMID 19730735›Full record

ArticlePloS one2009

Identifying cis-regulatory sequences by word profile similarity.

Garmay Leung, Michael B Eisen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.0field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 27 citations in OpenAlex.

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  10. Alignment-free sequence comparison based on next-generation sequencing reads.Journal of computational biology : a journal of computational molecular cell biology · 2013
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  17. Genome-wide identification of cis-regulatory motifs and modules underlying gene coregulation using statistics and phylogeny.Proceedings of the National Academy of Sciences of the United States of America · 2010
    Article
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 at 2 institutions in 1 country.

Garmay LeungUniversity of California Berkeley and University of California San Francisco Joint Graduate Group in Bioengineering, University of California, Berkeley, California, United States of America. garmay@berkeley.edu
Michael B Eisen
University of California, Berkeley · USUniversity of California, San Francisco · US

Funding

Modeling the Evolution and Function of Drosophila cis-Regulatory ModulesR01HG002779 · NHGRI · UNIVERSITY OF CALIFORNIA BERKELEY · PI EISEN, MICHAEL BRUCE · 2003 to 2012
$5.3M
Howard Hughes Medical InstituteNHGRI NIH HHS HG002779NHGRI NIH HHS R01 HG002779
6 · The paper itself

Abstract

backgroundRecognizing regulatory sequences in genomes is a continuing challenge, despite a wealth of available genomic data and a growing number of experimentally validated examples. METHODOLOGY/PRINCIPAL

findingsWe discuss here a simple approach to search for regulatory sequences based on the compositional similarity of genomic regions and known cis-regulatory sequences. This method, which is not limited to searching for predefined motifs, recovers sequences known to be under similar regulatory control. The words shared by the recovered sequences often correspond to known binding sites. Furthermore, we show that although local word profile clustering is predictive for the regulatory sequences involved in blastoderm segmentation, local dissimilarity is a more universal feature of known regulatory sequences in Drosophila. CONCLUSIONS/SIGNIFICANCE: Our method leverages sequence motifs within a known regulatory sequence to identify co-regulated sequences without explicitly defining binding sites. We also show that regulatory sequences can be distinguished from surrounding sequences by local sequence dissimilarity, a novel feature in identifying regulatory sequences across a genome. Source code for WPH-finder is available for download at http://rana.lbl.gov/downloads/wph.tar.gz.

Indexed as

LanguageRegulatory Sequences, Nucleic AcidAmino Acid MotifsAnimalsBinding SitesCluster AnalysisComputational BiologyConserved SequenceDatabases, GeneticDrosophilaGenomeGenomicsHumansModels, GeneticSoftware

Identifiers

PMID19730735
PMCPMC2731932
OpenAlexW1973518241

What OpenQuestion holds

Textmetadata
LicenceCC0
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.