Evidence map›Paper›PMID 18293102›Full record

ReviewChromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology2008

Addressing chromosome evolution in the whole-genome sequence era.

Thomas Faraut

Abstract readComparative StudyReview
PubMed Publisher
In one paragraph

Review in Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. 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

1 author.

Thomas FarautLaboratoire de Génétique Cellulaire, UMR 444 INRA/ENVT, INRA Toulouse, BP 52627, , 31326, Castanet Tolosan Cedex, France. Thomas.Faraut@toulouse.inra.fr

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolution of karyotypes has been the subject of intensive study since the middle of the 20th century. This was motivated by the observation that the karyotypes of related species showed remarkable conservation. The recent emergence of whole-genome sequencing projects gives the opportunity to complement the cytogenetic approaches by addressing the conservation of karyotypes using chromosome sequence comparison. In this short review we present a description of recent advances in computational biology methods dedicated to the study of chromosome evolution and more specifically ancestral karyotype reconstruction in an attempt to provide an integrated overview of both cytogenetic and computational approaches.

Indexed as

Evolution, MolecularGenomeAnimalsChromosomes, MammalianComputational BiologyHumansKaryotyping

Identifiers

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.