Evidence map›Paper›PMID 24064419›Full record

ArticleBioinformatics (Oxford, England)2013

An alignment-free test for recombination.

Bernhard Haubold, Linda Krause, Thomas Horn, Peter Pfaffelhuber

Open access · bronzeAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
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 1 institution in 1 country.

Bernhard HauboldDepartment of Evolutionary Genetics, Max-Planck-Institute for Evolutionary Biology, 24306 Plön, Institute for Neuro- and Bioinformatics, Lübeck University, 23562 Lübeck and Mathematical Stochastics, Mathematical Institute, Freiburg University, 79104 Freiburg, Germany.
Linda Krause
Thomas Horn
Peter Pfaffelhuber
Max Planck Institute for Evolutionary Biology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationWhy recombination? is one of the central questions in biology. This has led to a host of methods for quantifying recombination from sequence data. These methods are usually based on aligned DNA sequences. Here, we propose an efficient alignment-free alternative.

resultsOur method is based on the distribution of match lengths, which we look up using enhanced suffix arrays. By eliminating the alignment step, the test becomes fast enough for application to whole bacterial genomes. Using simulations we show that our test has similar power as established tests when applied to long pairs of sequences. When applied to 58 genomes of Escherichia coli, we pick up the strongest recombination signal from a 125 kb horizontal gene transfer engineered 20 years ago. AVAILABILITY AND IMPLEMENTATION: We have implemented our method in the command-line program rush. Its C sources and documentation are available under the GNU General Public License from http://guanine.evolbio.mpg.de/rush/.

Indexed as

AlgorithmsComputational BiologyGenome, BacterialRecombination, GeneticComputer SimulationEscherichia coliPhylogenySequence Alignment

Identifiers

PMID24064419
PMCPMC5994939
OpenAlexW2155820716

What OpenQuestion holds

Textmetadata
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.