Additional bioinformatic analysis of RDPA proteome features (relevant to Fig 2G).

<p><b>A-C)</b> RDPA proteins IDRs containing the three K/R motifs tend to be significantly longer compared to the other six datasets. <b>A)</b> Boxplots show the distributions of log10 transformed length. <b>B)</b> Density plots of the IDR lengths highlight the presence of two populations of longer IDRs in the RDPA proteome and Nucleo-specific proteins (red arrows). <b>C)</b> The P values of all pairwise comparisons between the datasets and motifs were estimated by a pairwise Wilcox test. Benjamini-Hochberg correction was applied to correct for multiple hypothesis testing. Ref.–reference, prot.–proteome, fr.–fraction, spec.–specific.</p> <p>(PDF)</p>

Publication Details

Journal
Figshare
Published
2024-12-02
DOI
https://doi.org/10.1371/journal.pgen.1011462.s011
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
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article

Additional bioinformatic analysis of RDPA proteome features (relevant to Fig 2G).

Figshare
Advanced Proteomics Techniques and Applications
article

Additional bioinformatic analysis of RDPA proteome features (relevant to Fig 2G).

article en

Abstract

<p><b>A-C)</b> RDPA proteins IDRs containing the three K/R motifs tend to be significantly longer compared to the other six datasets. <b>A)</b> Boxplots show the distributions of log10 transformed length. <b>B)</b> Density plots of the IDR lengths highlight the presence of two populations of longer IDRs in the RDPA proteome and Nucleo-specific proteins (red arrows). <b>C)</b> The P values of all pairwise comparisons between the datasets and motifs were estimated by a pairwise Wilcox test. Benjamini-Hochberg correction was applied to correct for multiple hypothesis testing. Ref.–reference, prot.–proteome, fr.–fraction, spec.–specific.</p> <p>(PDF)</p>

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Advanced Proteomics Techniques and Applications
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