Evidence map›Paper›PMID 20571085›Full record

ArticleNucleic acids research2010

Identifying compositionally homogeneous and nonhomogeneous domains within the human genome using a novel segmentation algorithm.

Eran Elhaik, Dan Graur, Kresimir Josić, Giddy Landan

Abstract read
In one paragraph

Article in Nucleic acids research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Segmenting the Human Genome into Isochores.Evolutionary bioinformatics online · 2015
    Article
  7. Article
  8. Investigating genomic structure using changept: A Bayesian segmentation model.Computational and structural biotechnology journal · 2014
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. The GenoChip: a new tool for genetic anthropology.Genome biology and evolution · 2013
    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.

Eran ElhaikMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA. eelhaik1@jhmi.edu
Dan Graur
Kresimir Josić
Giddy Landan

Funding

Error Correction in Multiple Sequence AlignmentsR01LM010009 · NLM · UNIVERSITY OF HOUSTON · PI GRAUR, DAN · 2009 to 2010
$1.1M
NLM NIH HHS LM010009-01
6 · The paper itself

Abstract

It has been suggested that the mammalian genome is composed mainly of long compositionally homogeneous domains. Such domains are frequently identified using recursive segmentation algorithms based on the Jensen-Shannon divergence. However, a common difficulty with such methods is deciding when to halt the recursive partitioning and what criteria to use in deciding whether a detected boundary between two segments is real or not. We demonstrate that commonly used halting criteria are intrinsically biased, and propose IsoPlotter, a parameter-free segmentation algorithm that overcomes such biases by using a simple dynamic halting criterion and tests the homogeneity of the inferred domains. IsoPlotter was compared with an alternative segmentation algorithm, D(JS), using two sets of simulated genomic sequences. Our results show that IsoPlotter was able to infer both long and short compositionally homogeneous domains with low GC content dispersion, whereas D(JS) failed to identify short compositionally homogeneous domains and sequences with low compositional dispersion. By segmenting the human genome with IsoPlotter, we found that one-third of the genome is composed of compositionally nonhomogeneous domains and the remaining is a mixture of many short compositionally homogeneous domains and relatively few long ones.

Indexed as

AlgorithmsGenome, HumanBase CompositionComputer SimulationGenomicsHumansIsochoresModels, GeneticIsochores

Identifiers

PMID20571085
PMCPMC2926622

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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.