Evidence map›Paper›PMID 19256873›Full record

ArticlePhysical review. E, Statistical, nonlinear, and soft matter physics2008

Duplication count distributions in DNA sequences.

Suzanne S Sindi, Brian R Hunt, James A Yorke

Abstract read
In one paragraph

Article in Physical review. E, Statistical, nonlinear, and soft matter physics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Genome Sequencing ofInternational journal of genomics · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

3 authors.

Suzanne S SindiInstitute for Physical Sciences and Technology, University of Maryland, College Park, Maryland 20742, USA. suzanne_sindi@brown.edu
Brian R Hunt
James A Yorke

Funding

Reliable Assembler for Whole Genome Shotgun Data.R01HG002945 · NHGRI · UNIV OF MARYLAND, COLLEGE PARK · PI YORKE, JAMES A · 2003 to 2013
$2.1M
NHGRI NIH HHS 1R01HG0294501NHGRI NIH HHS R01 HG002945
6 · The paper itself

Abstract

We study quantitative features of complex repetitive DNA in several genomes by studying sequences that are sufficiently long that they are unlikely to have repeated by chance. For each genome we study, we determine the number of identical copies, the "duplication count," of each sequence of length 40, that is of each "40-mer." We say a 40-mer is "repeated" if its duplication count is at least 2. We focus mainly on "complex" 40-mers, those without short internal repetitions. We find that we can classify most of the complex repeated 40-mers into two categories: one category has its copies clustered closely together on one chromosome, the other has its copies distributed widely across multiple chromosomes. For each genome and each of the categories above, we compute N(c), the number of 40-mers that have duplication count c, for each integer c. In each case, we observe a power-law-like decay in N(c) as c increases from 3 to 50 or higher. In particular, we find that N(c) decays much more slowly than would be predicted by evolutionary models where each 40-mer is equally likely to be duplicated. We also analyze an evolutionary model that does reflect the slow decay of N(c).

Indexed as

Models, GeneticAnimalsBase SequenceBiophysical PhenomenaChromosomesDNAGene DuplicationGenomicsHumansMarkov ChainsModels, ChemicalMultigene FamilyRepetitive Sequences, Nucleic AcidDNA

Identifiers

PMID19256873
PMCPMC3121164

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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.