Evidence map›Paper›PMID 23547764›Full record

ArticleBMC genomics2013

MGcV: the microbial genomic context viewer for comparative genome analysis.

Lex Overmars, Robert Kerkhoven, Roland J Siezen, Christof Francke

Abstract read
In one paragraph

Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–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

30 citing papers in PubMed.

  1. Article
  2. Prokaryotic Genome Annotation.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
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  8. Tasks, Techniques, and Tools for Genomic Data Visualization.Computer graphics forum : journal of the European Association for Computer Graphics · 2019
    Article
  9. Article
  10. The Impact of Pyroglutamate:Archaea (Vancouver, B.C.) · 2019
    Article
  11. Article
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  14. Article
  15. Article
  16. Article
  17. Article
  18. Draft genome sequence ofStandards in genomic sciences · 2017
    Article
  19. Article
  20. The methanogenic redox cofactor FThe ISME journal · 2017
    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

4 authors.

Lex OvermarsCentre for Molecular and Biomolecular Informatics, Radboud University Nijmegen Medical Centre, Geert Grooteplein Zuid 26-28, Nijmegen, 6525GA, The Netherlands. L.Overmars@cmbi.ru.nl
Robert Kerkhoven
Roland J Siezen
Christof Francke

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConserved gene context is used in many types of comparative genome analyses. It is used to provide leads on gene function, to guide the discovery of regulatory sequences, but also to aid in the reconstruction of metabolic networks. We present the Microbial Genomic context Viewer (MGcV), an interactive, web-based application tailored to strengthen the practice of manual comparative genome context analysis for bacteria.

resultsMGcV is a versatile, easy-to-use tool that renders a visualization of the genomic context of any set of selected genes, genes within a phylogenetic tree, genomic segments, or regulatory elements. It is tailored to facilitate laborious tasks such as the interactive annotation of gene function, the discovery of regulatory elements, or the sequence-based reconstruction of gene regulatory networks. We illustrate that MGcV can be used in gene function annotation by visually integrating information on prokaryotic genes, like their annotation as available from NCBI with other annotation data such as Pfam domains, sub-cellular location predictions and gene-sequence characteristics such as GC content. We also illustrate the usefulness of the interactive features that allow the graphical selection of genes to facilitate data gathering (e.g. upstream regions, ID's or annotation), in the analysis and reconstruction of transcription regulation. Moreover, putative regulatory elements and their corresponding scores or data from RNA-seq and microarray experiments can be uploaded, visualized and interpreted in (ranked-) comparative context maps. The ranked maps allow the interpretation of predicted regulatory elements and experimental data in light of each other.

conclusionMGcV advances the manual comparative analysis of genes and regulatory elements by providing fast and flexible integration of gene related data combined with straightforward data retrieval. MGcV is available at http://mgcv.cmbi.ru.nl.

Indexed as

Genome, BacterialComputational BiologyDatabases, GeneticGenomicsInformation Storage and RetrievalLactobacillusMolecular Sequence AnnotationNational Library of Medicine (U.S.)Regulatory Sequences, Nucleic AcidSoftwareStreptococcus mutansUnited StatesUser-Computer Interface

Identifiers

PMID23547764
PMCPMC3639932

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.