Evidence map›Paper›PMID 19218533›Full record

ArticleGenome research2009

Breakpoint graphs and ancestral genome reconstructions.

Max A Alekseyev, Pavel A Pevzner

Abstract read
In one paragraph

Article in Genome research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

  1. Article
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  4. Minimum-Cost Synthetic Genome Planning: An Algorithmic Framework.Computational and structural biotechnology journal · 2026
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  5. Article
  6. Article
  7. Article
  8. Article
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  11. KOMB: K-core based de novo characterization of copy number variation in microbiomes.Computational and structural biotechnology journal · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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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

2 authors.

Max A AlekseyevDepartment of Computer Science and Engineering, University of California at San Diego, La Jolla, CA 92093-0404, USA.
Pavel A Pevzner

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Recently completed whole-genome sequencing projects marked the transition from gene-based phylogenetic studies to phylogenomics analysis of entire genomes. We developed an algorithm MGRA for reconstructing ancestral genomes and used it to study the rearrangement history of seven mammalian genomes: human, chimpanzee, macaque, mouse, rat, dog, and opossum. MGRA relies on the notion of the multiple breakpoint graphs to overcome some limitations of the existing approaches to ancestral genome reconstructions. MGRA also generates the rearrangement-based characters guiding the phylogenetic tree reconstruction when the phylogeny is unknown.

Indexed as

AlgorithmsEvolution, MolecularGenomeAnimalsComputational BiologyGene RearrangementPhylogeny

Identifiers

PMID19218533
PMCPMC2675983

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.