Data from: Performance of gene expression analyses using de novo assembled transcripts in polyploid species
Data files
Sep 11, 2019 version files 3.06 GB
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                1.4_Trinity_assemblies.tar.gz
                359.97 MB
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                1.6_reference_base_coverage.tar.gz
                1.01 GB
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                2.2_2.3_getting_Corset_Grouper_cluster_information.tar.gz
                711.54 MB
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                3.2_evaluating_clustering.tar.gz
                404.30 MB
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                5_evaluate_dge.tar.gz
                457.24 MB
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                6_gene_coexpression_WGCNA.tar.gz
                115.37 MB
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                README.txt
                5.15 KB
 
Abstract
    Motivation: Quality of gene expression analyses using de novo assembled transcripts in species that experienced recent polyploidization remains unexplored.
Results: Differential gene expression (DGE) analyses using putative genes inferred by Trinity, Corset and Grouper performed slightly differently across five plant species that experienced various poly-ploidy histories. In species that lack recent polyploidy events that occurred in the past several millions of years, DGE analyses using de novo assembled transcriptomes identified 54–82% of the differen-tially expressed genes recovered by mapping reads to the reference genes. However, in species that experienced more recent polyploidy events, the percentage decreased to 21–65%. Gene co-expression network analyses using de novo assemblies vs. mapping to the reference genes recov-ered the same module that significantly correlated with treatment in one species that lacks recent polyploidization.
  
  
  
  