Evidence map›Paper›PMID 22208852›Full record

ArticleBMC bioinformatics2011

MotifMap: integrative genome-wide maps of regulatory motif sites for model species.

Kenneth Daily, Vishal R Patel, Paul Rigor, Xiaohui Xie, Pierre Baldi

Abstract read
In one paragraph

Article in BMC bioinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed, 2 pooled it
–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

114 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. UnlockingNAR genomics and bioinformatics · 2026
    Article
  4. Article
  5. Programming Next-Generation Synthetic Biosensors by Genetic Circuit Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Article
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  11. MAFin: motif detection in multiple alignment files.Bioinformatics (Oxford, England) · 2025
    Article
  12. Article
  13. TFTG: A comprehensive database for human transcription factors and their targets.Computational and structural biotechnology journal · 2024
    Article
  14. Article
  15. Article
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  18. Review
  19. Article
  20. Article

54 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

5 authors.

Kenneth DailyDepartment of Computer Science, University of California Irvine, Irvine, CA 92697, USA.
Vishal R Patel
Paul Rigor
Xiaohui Xie
Pierre Baldi

Funding

Efficient Data Structures and Algorithms for Genomics Sequence DataR01LM010235 · NLM · UNIVERSITY OF CALIFORNIA-IRVINE · PI BALDI, PIERRE · 2010 to 2012
$507k
NLM NIH HHS 5T15LM007743NLM NIH HHS LM010235-01A1
6 · The paper itself

Abstract

backgroundA central challenge of biology is to map and understand gene regulation on a genome-wide scale. For any given genome, only a small fraction of the regulatory elements embedded in the DNA sequence have been characterized, and there is great interest in developing computational methods to systematically map all these elements and understand their relationships. Such computational efforts, however, are significantly hindered by the overwhelming size of non-coding regions and the statistical variability and complex spatial organizations of regulatory elements and interactions. Genome-wide catalogs of regulatory elements for all model species simply do not yet exist.

resultsThe MotifMap system uses databases of transcription factor binding motifs, refined genome alignments, and a comparative genomic statistical approach to provide comprehensive maps of candidate regulatory elements encoded in the genomes of model species. The system is used to derive new genome-wide maps for yeast, fly, worm, mouse, and human. The human map contains 519,108 sites for 570 matrices with a False Discovery Rate of 0.1 or less. The new maps are assessed in several ways, for instance using high-throughput experimental ChIP-seq data and AUC statistics, providing strong evidence for their accuracy and coverage. The maps can be usefully integrated with many other kinds of omic data and are available at http://motifmap.igb.uci.edu/.

conclusionsMotifMap and its integration with other data provide a foundation for analyzing gene regulation on a genome-wide scale, and for automatically generating regulatory pathways and hypotheses. The power of this approach is demonstrated and discussed using the P53 apoptotic pathway and the Gli hedgehog pathways as examples.

Indexed as

Models, AnimalNucleotide MotifsRegulatory Sequences, Nucleic AcidAlgorithmsAnimalsGene Expression RegulationGenome, HumanGenome-Wide Association StudyGenomicsHedgehog ProteinsHumansMiceSignal TransductionTumor Suppressor Protein p53Hedgehog ProteinsTumor Suppressor Protein p53

Identifiers

PMID22208852
PMCPMC3293935

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.