ArticleGenome biology and evolution2025
Reconstruction of Segmental Duplication Rates and Associated Genomic Features by Network Analysis.
Article in Genome biology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Genome-Wide Identification and Expression Analysis of the Aspartic Protease Gene Family and Their Responses to Abiotic Stress inMicroorganisms · 2026Article
- Genomes From 117 Vertebrate Species Reveal Rapidly Evolving Segmental-Duplication Landscapes.Genome biology and evolution · 2026Article
- Genome-wide identification and expression analysis of YTH domain-containing RNA-binding protein family in maize reveals their potential role under abiotic stresses.Scientific reports · 2026Article
- Comprehensive genomic analysis of BAHD gene family: expression patterns during development and stress responses in pecan (Carya illinoinensis).BMC genomics · 2026Article
- Genomes from 117 vertebrate species reveal rapidly evolving segmental duplication landscapes.bioRxiv : the preprint server for biology · 2025Article
- Genome-Wide Identification, Evolutionary Expansion, and Expression Analyses of Aux/IAA Gene Family inBiology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Segmental duplications are long genomic duplications that are fixed in a genome. Segmental duplications play an important evolutionary role because entire genes can be duplicated along with regulatory sequences. The ancestral segmental duplications of the human lineage gave rise to genes that are involved in the development of the human brain and provided sites for further genomic rearrangements. While some duplicated loci have been extensively studied, the universal principles and biological factors underlying the spread of segmental duplications remain unclear. Here, we represent segmental duplications in a network, with edges corresponding to duplication events and nodes corresponding to affected genomic sites. This representation allowed us to estimate how many duplications had occurred at each locus, and thereby enabling the prediction of genomic features associated with increased duplication rates. Our comprehensive study of genomic features associated with duplications and those associated with increased duplication rates allowed us to identify several biological factors affecting a segmental duplication process. In our study, we describe genomic features associated with increased duplication rates, three signatures of the duplication process and associations of segmental duplications with different classes of high-copy repeats. Furthermore our method is readily implemented and can easily be applied to segmental duplications of other genomes to build a network of segmental duplications or to predict real duplication events.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.