Journal article Open Access

APIR: a universal FDR-control framework for boosting peptide identification power by aggregating multiple proteomics database search algorithms

Chen, Yiling; Woyshner, Kyla; Mcdermott, MeiLu; Wang, Leo; Li, Jingyi


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.5202768", 
  "title": "APIR: a universal FDR-control framework for boosting peptide identification power by aggregating multiple proteomics database search algorithms", 
  "issued": {
    "date-parts": [
      [
        2021, 
        9, 
        8
      ]
    ]
  }, 
  "abstract": "<p>The data folder includes all the processed database search results&nbsp;as well as the combining results from ConsensusID and Scaffold on the complex proteomics standard dataset generated from <em>Pyrococcus furiosus</em>.</p>\n\n<p>The Rcode folder contains all the&nbsp;R code files for running APIR, analyzing results, and generate figures.</p>\n\n<p>&nbsp;</p>\n\n<p>&nbsp;</p>", 
  "author": [
    {
      "family": "Chen, Yiling"
    }, 
    {
      "family": "Woyshner, Kyla"
    }, 
    {
      "family": "Mcdermott, MeiLu"
    }, 
    {
      "family": "Wang, Leo"
    }, 
    {
      "family": "Li, Jingyi"
    }
  ], 
  "version": "Version 1", 
  "type": "article-journal", 
  "id": "5202768"
}
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