Evidence map›Paper›PMID 33193592›Full record

ArticleFrontiers in genetics2020

A Path-Deformation Framework for Determining Weighted Genome Rearrangement Distance.

Sangeeta Bhatia, Attila Egri-Nagy, Stuart Serdoz, Cheryl E Praeger, Volker Gebhardt, Andrew Francis

Abstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. A mean first passage time genome rearrangement distance.Journal of mathematical biology · 2020
    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

6 authors.

Sangeeta BhatiaCentre for Research in Mathematics and Data Science, Western Sydney University, Sydney, NSW, Australia.
Attila Egri-NagyCentre for Research in Mathematics and Data Science, Western Sydney University, Sydney, NSW, Australia.
Stuart SerdozCentre for Research in Mathematics and Data Science, Western Sydney University, Sydney, NSW, Australia.
Cheryl E PraegerSchool of Physics, Mathematics, and Computing, University of Western Australia, Perth, WA, Australia.
Volker GebhardtCentre for Research in Mathematics and Data Science, Western Sydney University, Sydney, NSW, Australia.
Andrew FrancisCentre for Research in Mathematics and Data Science, Western Sydney University, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measuring the distance between two bacterial genomes under the inversion process is usually done by assuming all inversions to occur with equal probability. Recently, an approach to calculating inversion distance using group theory was introduced, and is effective for the model in which only very short inversions occur. In this paper, we show how to use the group-theoretic framework to establish minimal distance for any weighting on the set of inversions, generalizing previous approaches. To do this we use the theory of rewriting systems for groups, and exploit the Knuth-Bendix algorithm, the first time this theory has been introduced into genome rearrangement problems. The central idea of the approach is to use existing group theoretic methods to find an initial path between two genomes in genome space (for instance using only short inversions), and then to deform this path to optimality using a confluent system of rewriting rules generated by the Knuth-Bendix algorithm.

Indexed as

genome rearrangementgroup theoryinversionKnuth-Bendix algorithmrewriting systems

Identifiers

PMID33193592
PMCPMC7542183

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Registered trials

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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.