ArticleFrontiers in genetics2022
PolyReco: A Method to Automatically Label Collinear Regions and Recognize Polyploidy Events Based on the
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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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Who cites it
3 citing papers in PubMed.
- The Risk Genes S1PR5, CMC1, and ASAH1 as Potential Targets for the Diagnosis, Immunotherapy, and Treatment of Colon Adenocarcinoma by Single-Cell and Bulk RNA Sequencing Analysis.Current medicinal chemistry · 2026Article
- An intelligent recognition method of chromosome rearrangement patterns based on information entropy.Scientific reports · 2022Article
- Hijacking a rapid and scalable metagenomic method reveals subgenome dynamics and evolution in polyploid plants.Applications in plant sciencesArticle
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Authors and funding
7 authors.
Funding
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Abstract
Polyploidization plays a critical role in producing new gene functions and promoting species evolution. Effective identification of polyploid types can be helpful in exploring the evolutionary mechanism. However, current methods for detecting polyploid types have some major limitations, such as being time-consuming and strong subjectivity, etc. In order to objectively and scientifically recognize collinearity fragments and polyploid types, we developed PolyReco method, which can automatically label collinear regions and recognize polyploidy events based on the
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Registered trials
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