Evidence map›Paper›PMID 36700093›Full record

ArticleBioinformatics advances2021

cblaster: a remote search tool for rapid identification and visualization of homologous gene clusters.

Cameron L M Gilchrist, Thomas J Booth, Bram van Wersch, Liana van Grieken, Marnix H Medema, Yit-Heng Chooi

Abstract read
In one paragraph

Article in Bioinformatics advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 172 papers.

0numbers the graph read from it
0cells of the map it votes in
172citing 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

172 citing papers in PubMed.

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  14. A frameshift mutation drives divergent biosynthesis of metallophores inbioRxiv : the preprint server for biology · 2026
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  17. Novel transposon TnMicrobial genomics · 2026
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  18. Article
  19. A Novel Pilus System in Candidate Phyla Radiation Bacteria.bioRxiv : the preprint server for biology · 2026
    Article
  20. Article

112 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

6 authors.

Cameron L M GilchristSchool of Molecular Sciences, The University of Western Australia, Crawley, WA 6009, Australia.ORCID https://orcid.org/0000-0001-7798-427X
Thomas J BoothSchool of Molecular Sciences, The University of Western Australia, Crawley, WA 6009, Australia.
Bram van WerschBioinformatics Group, Wageningen University, Wageningen 6708PB, The Netherlands.
Liana van GriekenBioinformatics Group, Wageningen University, Wageningen 6708PB, The Netherlands.
Marnix H MedemaBioinformatics Group, Wageningen University, Wageningen 6708PB, The Netherlands.ORCID https://orcid.org/0000-0002-2191-2821
Yit-Heng ChooiSchool of Molecular Sciences, The University of Western Australia, Crawley, WA 6009, Australia.ORCID https://orcid.org/0000-0001-7719-7524

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: Genes involved in coordinated biological pathways, including metabolism, drug resistance and virulence, are often collocalized as gene clusters. Identifying homologous gene clusters aids in the study of their function and evolution, however, existing tools are limited to searching local sequence databases. Tools for remotely searching public databases are necessary to keep pace with the rapid growth of online genomic data. Results: Here, we present cblaster, a Python-based tool to rapidly detect collocated genes in local and remote databases. cblaster is easy to use, offering both a command line and a user-friendly graphical user interface. It generates outputs that enable intuitive visualizations of large datasets and can be readily incorporated into larger bioinformatic pipelines. cblaster is a significant update to the comparative genomics toolbox. Availability and implementation: cblaster source code and documentation is freely available from GitHub under the MIT license (github.com/gamcil/cblaster). Supplementary information: Supplementary data are available at

Identifiers

PMID36700093
PMCPMC9710679

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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.