Evidence map›Paper›PMID 20633259›Full record

ArticleBMC bioinformatics2010

Graph-based clustering and characterization of repetitive sequences in next-generation sequencing data.

Petr Novák, Pavel Neumann, Jirí Macas

Abstract read
In one paragraph

Article in BMC bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 261 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
261citing papers in PubMed, 1 pooled it
–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

261 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Emergence of satellite DNAs suggests centromeric repositioning as a driver of karyotypic variation of the freshwater darter characines (Apareiodon affinis).Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2026
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  11. The repeatome landscape in the "Frontiers in plant science · 2026
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  15. Development of wheat D genome-specific molecular markers based on subgenome-specific repeats.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2025
    Article
  16. Satellite DNA Genomics: The Ongoing Story.International journal of molecular sciences · 2025
    Review
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201 more citing papers are in PubMed but not listed here.

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.

Petr NovákBiology Centre ASCR, Institute of Plant Molecular Biology, Branisovska 31, Ceske Budejovice, CZ-37005, Czech Republic.
Pavel Neumann
Jirí Macas

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe investigation of plant genome structure and evolution requires comprehensive characterization of repetitive sequences that make up the majority of higher plant nuclear DNA. Since genome-wide characterization of repetitive elements is complicated by their high abundance and diversity, novel approaches based on massively-parallel sequencing are being adapted to facilitate the analysis. It has recently been demonstrated that the low-pass genome sequencing provided by a single 454 sequencing reaction is sufficient to capture information about all major repeat families, thus providing the opportunity for efficient repeat investigation in a wide range of species. However, the development of appropriate data mining tools is required in order to fully utilize this sequencing data for repeat characterization.

resultsWe adapted a graph-based approach for similarity-based partitioning of whole genome 454 sequence reads in order to build clusters made of the reads derived from individual repeat families. The information about cluster sizes was utilized for assessing the proportion and composition of repeats in the genomes of two model species, Pisum sativum and Glycine max, differing in genome size and 454 sequencing coverage. Moreover, statistical analysis and visual inspection of the topology of the cluster graphs using a newly developed program tool, SeqGrapheR, were shown to be helpful in distinguishing basic types of repeats and investigating sequence variability within repeat families.

conclusionsRepetitive regions of plant genomes can be efficiently characterized by the presented graph-based analysis and the graph representation of repeats can be further used to assess the variability and evolutionary divergence of repeat families, discover and characterize novel elements, and aid in subsequent assembly of their consensus sequences.

Indexed as

Repetitive Sequences, Nucleic AcidSequence Analysis, DNAChromosome MappingCluster AnalysisDNA, PlantGenome, PlantGlycine maxPisum sativumDNA, Plant

Identifiers

PMID20633259
PMCPMC2912890

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.