Evidence map›Paper›PMID 24116030›Full record

ArticlePloS one2013

Detection of homologous recombination events in bacterial genomes.

Wei-Bung Wang, Tao Jiang, Shea Gardner

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Current Methods for Recombination Detection in Bacteria.International journal of molecular sciences · 2022
    Review
  2. 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

3 authors.

Wei-Bung WangDepartment of Computer Science, University of California Riverside, Riverside, California, United States of America.
Tao Jiang
Shea Gardner

Funding

Multi-point and multi-locus analysis of genomic association dataR01LM008991 · NLM · CASE WESTERN RESERVE UNIVERSITY · PI LI, JING · 2006 to 2010
$3.1M
NLM NIH HHS 2R01LM008991NLM NIH HHS R01 LM008991
6 · The paper itself

Abstract

We study the detection of mutations, sequencing errors, and homologous recombination events (HREs) in a set of closely related microbial genomes. We base the model on single nucleotide polymorphisms (SNPs) and break the genomes into blocks to handle the rearrangement problem. Then we apply a dynamic programming algorithm to model whether changes within each block are likely a result of mutations, sequencing errors, or HREs. Results from simulation experiments show that we can detect 31%-61% of HREs and the precision of our detection is about 48%-90% depending on the rates of mutation and missing data. The HREfinder software for predicting HREs in a set of whole genomes is available as open source (http://sourceforge.net/projects/hrefinder/).

Indexed as

Genome, BacterialHomologous RecombinationAlgorithmsGenomicsModels, GeneticMutationPolymorphism, Single NucleotideSoftware

Identifiers

PMID24116030
PMCPMC3792089

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.