Evidence map›Paper›PMID 27713837›Full record

ArticleMicrobial genomics2016

SimBac: simulation of whole bacterial genomes with homologous recombination.

Thomas Brown, Xavier Didelot, Daniel J Wilson, Nicola De Maio

Open access · hybridAbstract read
In one paragraph

Article in Microbial genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

22 citing papers in PubMed, 44 citations in OpenAlex.

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  8. Current Methods for Recombination Detection in Bacteria.International journal of molecular sciences · 2022
    Review
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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

4 authors at 2 institutions in 1 country.

Thomas Brown1​ Doctoral Training Centre, University of Oxford, Oxford, UK.
Xavier Didelot2​ Department of Infectious Disease Epidemiology, Imperial College, London, UK.
Daniel J Wilson3​ Institute for Emerging Infections, Oxford Martin School, Oxford, UK.
Nicola De Maio4​ Nuffield Department of Medicine, University of Oxford, Oxford, UK.
University of Oxford · GBImperial College London · GB

Funding

Biotechnology and Biological Sciences Research Council BB/L023458/1Department of Health IS-HPU-1112-10080Medical Research Council MR/K010174/1United Kingdom Department of HealthUnited Kingdom Wellcome TrustWellcome Trust 101237
6 · The paper itself

Abstract

Bacteria can exchange genetic material, or acquire genes found in the environment. This process, generally known as bacterial recombination, can have a strong impact on the evolution and phenotype of bacteria, for example causing the spread of antibiotic resistance across clades and species, but can also disrupt phylogenetic and transmission inferences. With the increasing affordability of whole genome sequencing, the need has emerged for an efficient simulator of bacterial evolution to test and compare methods for phylogenetic and population genetic inference, and for simulation-based estimation. We present SimBac, a whole-genome bacterial evolution simulator that is roughly two orders of magnitude faster than previous software and includes a more general model of bacterial evolution, allowing both within- and between-species homologous recombination. Since methods modelling bacterial recombination generally focus on only one of these two modes of recombination, the possibility to simulate both allows for a general and fair benchmarking. SimBac is available from https://github.com/tbrown91/SimBac and is distributed as open source under the terms of the GNU General Public Licence.

Indexed as

Computer SimulationHomologous RecombinationBacteriaGenome, BacterialPhylogenySoftwarebacterial evolutionbacterial genomicsbacterial recombinationcoalescent simulation

Identifiers

PMID27713837
PMCPMC5049688
OpenAlexW2227690683

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.