2020
DOI: 10.1016/j.gene.2020.144412
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Genome-wide discovery of DNA variants in cucumber somaclonal lines

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Cited by 15 publications
(31 citation statements)
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“…The principal component analysis was performed using R package with "ggplot2" package. Identified DEGs were compared with previously obtained genome sequencing data for somaclonal lines (BioProject PRJNA563814) (Skarzyńska et al 2020) to locate single-nucleotide variations (SNVs) within the gene structure or upstream region (1500 bp upstream from the start codon). To visualize the DEGs position across chromosome maps, MapChart software (Voorrips 2002) and the R package "circlize" (Gu et al 2014) were applied.…”
Section: Rna-seq Data Analysismentioning
confidence: 99%
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“…The principal component analysis was performed using R package with "ggplot2" package. Identified DEGs were compared with previously obtained genome sequencing data for somaclonal lines (BioProject PRJNA563814) (Skarzyńska et al 2020) to locate single-nucleotide variations (SNVs) within the gene structure or upstream region (1500 bp upstream from the start codon). To visualize the DEGs position across chromosome maps, MapChart software (Voorrips 2002) and the R package "circlize" (Gu et al 2014) were applied.…”
Section: Rna-seq Data Analysismentioning
confidence: 99%
“…The PlantCARE database (http://bioin forma tics.psb.ugent .be/webto ols/plant care/html/) was accessed to estimate cis-acting elements and the possible functional influence of transcription factors (TF). The STRING algorithm (version 10.5) (Szklarczyk et al 2017), using Arabidopsis thaliana as a model, was applied for an additional analysis of the possible interactions between the selected proteins coded by DEGs and genes affected by SNVs (G_SNVs) ( Table S3), which were previously selected (Skarzyńska et al 2020).…”
Section: Functional Annotation Gene Ontology Classification and Molmentioning
confidence: 99%
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