Evidence map›Paper›PMID 19386099›Full record

ArticleBMC bioinformatics2009

Multichromosomal median and halving problems under different genomic distances.

Eric Tannier, Chunfang Zheng, David Sankoff

Abstract read
In one paragraph

Article in BMC bioinformatics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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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

39 citing papers in PubMed.

  1. Investigating the complexity of the double distance problems.Algorithms for molecular biology : AMB · 2024
    Article
  2. Generalizations of the genomic rank distance to indels.Bioinformatics (Oxford, England) · 2023
    Article
  3. Article
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  11. A cubic algorithm for the generalized rank median of three genomes.Algorithms for molecular biology : AMB · 2019
    Article
  12. Article
  13. Article
  14. Article
  15. The gene family-free median of three.Algorithms for molecular biology : AMB · 2017
    Article
  16. Implicit Transpositions in DCJ Scenarios.Frontiers in genetics · 2017
    Article
  17. Article
  18. Article
  19. Article
  20. Building a pan-genome reference for a population.Journal of computational biology : a journal of computational molecular cell biology · 2015
    Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Eric TannierINRIA Rhône-Alpes, Inovallée, Montbonnot, Saint Ismier Cedex, France. Eric.Tannier@inria.fr
Chunfang Zheng
David Sankoff

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenome median and genome halving are combinatorial optimization problems that aim at reconstructing ancestral genomes as well as the evolutionary events leading from the ancestor to extant species. Exploring complexity issues is a first step towards devising efficient algorithms. The complexity of the median problem for unichromosomal genomes (permutations) has been settled for both the breakpoint distance and the reversal distance. Although the multichromosomal case has often been assumed to be a simple generalization of the unichromosomal case, it is also a relaxation so that complexity in this context does not follow from existing results, and is open for all distances.

resultsWe settle here the complexity of several genome median and halving problems, including a surprising polynomial result for the breakpoint median and guided halving problems in genomes with circular and linear chromosomes, showing that the multichromosomal problem is actually easier than the unichromosomal problem. Still other variants of these problems are NP-complete, including the DCJ double distance problem, previously mentioned as an open question. We list the remaining open problems.

conclusionThis theoretical study clears up a wide swathe of the algorithmical study of genome rearrangements with multiple multichromosomal genomes.

Indexed as

AlgorithmsChromosomesComputational BiologyDatabases, GeneticGene RearrangementGenomeGenomics

Identifiers

PMID19386099
PMCPMC2683817

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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.