Evidence map›Paper›PMID 20972211›Full record

ArticleNucleic acids research2011

WebGeSTer DB--a transcription terminator database.

Anirban Mitra, Anil K Kesarwani, Debnath Pal, Valakunja Nagaraja

Abstract read
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

61 citing papers in PubMed.

  1. Article
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  8. A novel bacterial sulfite dehydrogenase that requires threeApplied and environmental microbiology · 2023
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  10. Advances in Genetic Tools and Their Application inFoods (Basel, Switzerland) · 2023
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  13. Genomic Profiling of Non-O157 Shiga ToxigenicPHAGE (New Rochelle, N.Y.) · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

1 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.

Anirban MitraDepartment of Microbiology Cell Biology, Indian Institute of Science and Jawaharlal Nehru Centre for Advanced Scientific Research, Bangalore, India.
Anil K Kesarwani
Debnath Pal
Valakunja Nagaraja

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present WebGeSTer DB, the largest database of intrinsic transcription terminators (http://pallab.serc.iisc.ernet.in/gester). The database comprises of a million terminators identified in 1060 bacterial genome sequences and 798 plasmids. Users can obtain both graphic and tabular results on putative terminators based on default or user-defined parameters. The results are arranged in different tiers to facilitate retrieval, as per the specific requirements. An interactive map has been incorporated to visualize the distribution of terminators across the whole genome. Analysis of the results, both at the whole-genome level and with respect to terminators downstream of specific genes, offers insight into the prevalence of canonical and non-canonical terminators across different phyla. The data in the database reinforce the paradigm that intrinsic termination is a conserved and efficient regulatory mechanism in bacteria. Our database is freely accessible.

Indexed as

Databases, Nucleic AcidGenome, BacterialTerminator Regions, GeneticGene Expression Regulation, BacterialInternet

Identifiers

PMID20972211
PMCPMC3013805

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LicenceCC BY-NC
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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.