Evidence map›Paper›PMID 15173115›Full record

ArticleGenome research2004

Building genomic profiles for uncovering segmental homology in the twilight zone.

Cedric Simillion, Klaas Vandepoele, Yvan Saeys, Yves Van de Peer

Abstract readComparative Study
In one paragraph

Article in Genome research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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  2. Review
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  18. Gene cluster statistics with gene families.Molecular biology and evolution · 2009
    Article
  19. Article
  20. Whole-genome analysis reveals molecular innovations and evolutionary transitions in chromalveolate species.Proceedings of the National Academy of Sciences of the United States of America · 2008
    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

4 authors.

Cedric SimillionDepartment of Plant Systems Biology, Flanders Interuniversity Institute for Biotechnology (VIB), Ghent University, B-9052 Ghent, Belgium.
Klaas Vandepoele
Yvan Saeys
Yves Van de Peer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of homologous regions within and between genomes is an essential prerequisite for studying genome structure and evolution. Different methods already exist that allow detecting homologous regions in an automated manner. These methods are based either on finding sequence similarities at the DNA level or on identifying chromosomal regions showing conservation of gene order and content. Especially the latter approach has proven useful for detecting homology between highly divergent chromosomal regions. However, until now, such map-based approaches required that candidate homologous regions show significant collinearity with other segments to be considered as being homologous. Here, we present a novel method that creates profiles combining the gene order and content information of multiple mutually homologous genomic segments. These profiles can be used to scan one or more genomes to detect segments that show significant collinearity with the entire profile but not necessarily with individual segments. When applying this new method to the combined genomes of Arabidopsis and rice, we find additional evidence for ancient duplication events in the rice genome.

Indexed as

Genome, PlantAlgorithmsArabidopsisChromosomes, PlantDNA, PlantEvolution, MolecularOryzaSequence Analysis, DNASequence Homology, Nucleic AcidSoftwareSoftware DesignDNA, Plant

Identifiers

PMID15173115
PMCPMC419788

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.