ArticleNucleic acids research2003
Comprehensive quantitative analyses of the effects of promoter sequence elements on mRNA transcription.
Article in Nucleic acids research, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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.
Who cites it
6 citing papers in PubMed.
- Functional characterization of variations on regulatory motifs.PLoS genetics · 2008Article
- Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks.BMC bioinformatics · 2006Article
- A graph-based motif detection algorithm models complex nucleotide dependencies in transcription factor binding sites.Nucleic acids research · 2006Article
- Extraction of transcription regulatory signals from genome-wide DNA-protein interaction data.Nucleic acids research · 2005Article
- A catalog of stability-associated sequence elements in 3' UTRs of yeast mRNAs.Genome biology · 2005Article
- The promoters of human cell cycle genes integrate signals from two tumor suppressive pathways during cellular transformation.Molecular systems biology · 2005Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We have generated a WWW interface for automated comprehensive analyses of promoter regulatory motifs and the effect they exert on mRNA expression profiles. The server provides a wide spectrum of analysis tools that allow de novo discovery of regulatory motifs, along with refinement and in-depth investigation of fully or partially characterized motifs. The presented discovery and analysis tools are fundamentally different from existing tools in their basic rational, statistical background and specificity and sensitivity towards true regulatory elements. We thus anticipate that the service will be of great importance to the experimental and computational biology communities alike. The motif discovery and diagnosis workbench is available at http://longitude.weizmann.ac.il/rMotif/.
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Registered trials
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.