Evidence map›Paper›PMID 27679480›Full record

ArticleNucleic acids research2016

Finding approximate gene clusters with Gecko 3.

Sascha Winter, Katharina Jahn, Stefanie Wehner, Leon Kuchenbecker, Manja Marz, Jens Stoye, Sebastian Böcker

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 33 citations in OpenAlex.

  1. Generalized Gene Cluster Detection Using CLOCI.Methods in molecular biology (Clifton, N.J.) · 2026
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  5. New algorithms for structure informed genome rearrangement.Algorithms for molecular biology : AMB · 2023
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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 3 institutions in 3 countries.

Sascha WinterChair for Bioinformatics, Institute for Computer Science, Friedrich-Schiller-University Jena, Jena, Germany.
Katharina JahnGenome Informatics, Faculty of Technology and Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, Germany.
Stefanie WehnerRNA Bioinformatics and High Throughput Analysis, Institute for Computer Science, Friedrich-Schiller-University Jena, Jena, Germany.
Leon KuchenbeckerGenome Informatics, Faculty of Technology and Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, Germany.
Manja MarzRNA Bioinformatics and High Throughput Analysis, Institute for Computer Science, Friedrich-Schiller-University Jena, Jena, Germany.
Jens StoyeGenome Informatics, Faculty of Technology and Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, Germany.
Sebastian BöckerChair for Bioinformatics, Institute for Computer Science, Friedrich-Schiller-University Jena, Jena, Germany sebastian.boecker@uni-jena.de.
Friedrich Schiller University Jena · DEBielefeld University · DESIB Swiss Institute of Bioinformatics · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene-order-based comparison of multiple genomes provides signals for functional analysis of genes and the evolutionary process of genome organization. Gene clusters are regions of co-localized genes on genomes of different species. The rapid increase in sequenced genomes necessitates bioinformatics tools for finding gene clusters in hundreds of genomes. Existing tools are often restricted to few (in many cases, only two) genomes, and often make restrictive assumptions such as short perfect conservation, conserved gene order or monophyletic gene clusters. We present Gecko 3, an open-source software for finding gene clusters in hundreds of bacterial genomes, that comes with an easy-to-use graphical user interface. The underlying gene cluster model is intuitive, can cope with low degrees of conservation as well as misannotations and is complemented by a sound statistical evaluation. To evaluate the biological benefit of Gecko 3 and to exemplify our method, we search for gene clusters in a dataset of 678 bacterial genomes using Synechocystis sp. PCC 6803 as a reference. We confirm detected gene clusters reviewing the literature and comparing them to a database of operons; we detect two novel clusters, which were confirmed by publicly available experimental RNA-Seq data. The computational analysis is carried out on a laptop computer in <40 min.

Indexed as

Multigene FamilySoftwareAlgorithmsComputational BiologyDatasets as TopicGenes, BacterialGenome, BacterialGenomicsModels, StatisticalWeb BrowserWorkflow

Identifiers

PMID27679480
PMCPMC5175365
OpenAlexW2527473185

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.