Evidence map›Paper›PMID 19884135›Full record

ArticleNucleic acids research2010

RegPrecise: a database of curated genomic inferences of transcriptional regulatory interactions in prokaryotes.

Pavel S Novichkov, Olga N Laikova, Elena S Novichkova, Mikhail S Gelfand, Adam P Arkin, Inna Dubchak, Dmitry A Rodionov

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed
11.5field-weighted citation impact, top 1% 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

123 citing papers in PubMed, 178 citations in OpenAlex.

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  15. Metallomics : integrated biometal science · 2020
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  19. Article
  20. Article

63 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

7 authors at 5 institutions in 2 countries.

Pavel S NovichkovLawrence Berkeley National Laboratory, Berkeley, CA 94720, USA, State Scientific Center GosNIIGenetika, Moscow 117545, Russia.
Olga N Laikova
Elena S Novichkova
Mikhail S Gelfand
Adam P Arkin
Inna Dubchak
Dmitry A Rodionov
Institute for Information Transmission Problems · RURussian Academy of Sciences · RUJoint Genome Institute · USLomonosov Moscow State University · RUUniversity of California, Berkeley · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The RegPrecise database (http://regprecise.lbl.gov) was developed for capturing, visualization and analysis of predicted transcription factor regulons in prokaryotes that were reconstructed and manually curated by utilizing the comparative genomic approach. A significant number of high-quality inferences of transcriptional regulatory interactions have been already accumulated for diverse taxonomic groups of bacteria. The reconstructed regulons include transcription factors, their cognate DNA motifs and regulated genes/operons linked to the candidate transcription factor binding sites. The RegPrecise allows for browsing the regulon collections for: (i) conservation of DNA binding sites and regulated genes for a particular regulon across diverse taxonomic lineages; (ii) sets of regulons for a family of transcription factors; (iii) repertoire of regulons in a particular taxonomic group of species; (iv) regulons associated with a metabolic pathway or a biological process in various genomes. The initial release of the database includes approximately 11,500 candidate binding sites for approximately 400 orthologous groups of transcription factors from over 350 prokaryotic genomes. Majority of these data are represented by genome-wide regulon reconstructions in Shewanella and Streptococcus genera and a large-scale prediction of regulons for the LacI family of transcription factors. Another section in the database represents the results of accurate regulon propagation to the closely related genomes.

Indexed as

Databases, GeneticDatabases, Nucleic AcidAlgorithmsAmino Acid MotifsBinding SitesComputational BiologyDatabases, ProteinDNAGenome, BacterialInformation Storage and RetrievalInternetOperonSequence AlignmentSoftwareTranscription FactorsDNATranscription Factors

Identifiers

PMID19884135
PMCPMC2808921
OpenAlexW2152269861

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.