ArticlePloS one2011
Algebraic distribution of segmental duplication lengths in whole-genome sequence self-alignments.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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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.
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Who cites it
9 citing papers in PubMed.
- Article
- A Model-Driven Quantitative Analysis of Retrotransposon Distributions in the Human Genome.Genome biology and evolution · 2020Article
- Primary orthologs from local sequence context.BMC bioinformatics · 2020Article
- The fractal heart - embracing mathematics in the cardiology clinic.Nature reviews. Cardiology · 2017Review
- Article
- Evolutionary dynamics of selfish DNA explains the abundance distribution of genomic subsequences.Scientific reports · 2016Article
- Size distribution of function-based human gene sets and the split-merge model.Royal Society open science · 2016Article
- How evolution of genomes is reflected in exact DNA sequence match statistics.Molecular biology and evolution · 2015Article
- Mappability and read length.Frontiers in genetics · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Distributions of duplicated sequences from genome self-alignment are characterized, including forward and backward alignments in bacteria and eukaryotes. A Markovian process without auto-correlation should generate an exponential distribution expected from local effects of point mutation and selection on localised function; however, the observed distributions show substantial deviation from exponential form--they are roughly algebraic instead--suggesting a novel kind of long-distance correlation that must be non-local in origin.
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Registered trials
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