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

<p>The percentage of disordered amino acid residues in IDRs predicted by ESpritz X-Ray (X-Ray), ESpritz Disprot (Disprot), and ESpritz NMR (NMR) in the “main” <b>(A)</b> and “additional” <b>(B)</b> datasets. Statistical analysis was performed using a hypergeometric test (*** P < 0.001).</p> <p>(PDF)</p>

Publication Details

Journal
Figshare
Published
2024-12-02
DOI
https://doi.org/10.1371/journal.pgen.1011462.s012
Primary Topic
Machine Learning in Bioinformatics
Type
article
Field-Weighted Citation Impact
0.00
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article

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

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Machine Learning in Bioinformatics
article

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

article en

Abstract

<p>The percentage of disordered amino acid residues in IDRs predicted by ESpritz X-Ray (X-Ray), ESpritz Disprot (Disprot), and ESpritz NMR (NMR) in the “main” <b>(A)</b> and “additional” <b>(B)</b> datasets. Statistical analysis was performed using a hypergeometric test (*** P < 0.001).</p> <p>(PDF)</p>

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Machine Learning in Bioinformatics
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Additional bioinformatic analysis of RDPA proteome features (relevant to Fig 2B and 2G). · Figshare (2024) | TGRS Research Map | TGRS