{
  "abstract": "High-throughput proteomics now spans several technologies that differ in biological breadth, precision, specificity, sensitivity, cost, and method(s) of quantification; however, investigators currently lack an evidence-based framework to select or combine platforms. Here, we present the Atlas of Proteomic Technologies (APT) - a curated resource that evaluates six commercial platforms across ten analytical dimensions using published head-to-head evidence, expert evaluation, and iterative peer review. APT hosts two decision tools: the Help Me Choose tool maps a study's primary aim(s), scale, sample matrix, and technical constraints to a calibrated, weight-adjustable platform ranking, and the Help Me Combine tool ranks complementary platform pairs by their net-new protein coverage and user-specified technical priorities. Both tools were tested exhaustively across all possible combinations and behave in a balanced, merit-based manner. APT is openly accessible at https://aptatlas.org, providing downloadable tool specifications, seeded analysis scripts, and complete protein coverage lists, ensuring every score and recommendation is inspectable and reproducible.",
  "abstract_shown": true,
  "affiliations": [
    "Royal College of Surgeons in Ireland"
  ],
  "article_type": "New results",
  "arxiv": null,
  "author_total": 2,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "C. D. Whelan"
    },
    {
      "name": "K. Smith-Byrne"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/ar8nk6yb8ezqa.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.09.10.750723",
  "fulltext_url": "https://www.biorxiv.org/content/10.64898/2026.09.10.750723v1.full",
  "id": "ar8nk6yb8ezqa",
  "issns": [],
  "landing_url": "https://www.biorxiv.org/content/10.64898/2026.09.10.750723v1",
  "language": null,
  "licence": "CC-BY-NC",
  "licence_label": "CC BY-NC",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "biorxiv",
      "bioinformatics"
    ],
    [
      "openalex",
      "1607|Advanced Proteomics Techniques and Applications"
    ]
  ],
  "openalex": "W7213440003",
  "pdf_url": "https://www.biorxiv.org/content/10.64898/2026.09.10.750723v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-10",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/ar8nk6yb8ezqa.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:22:41Z",
      "native_id": "10.64898/2026.09.10.750723",
      "source": "biorxiv",
      "url": "https://www.biorxiv.org/content/10.64898/2026.09.10.750723v1"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "biorxiv:bioinformatics",
      "subfield": "bioinformatics"
    }
  ],
  "title": "Atlas of Proteomic Technologies: an evidence-based framework for selecting and combining commercial proteomics platforms",
  "title_text": "Atlas of Proteomic Technologies: an evidence-based framework for selecting and combining commercial proteomics platforms",
  "type": "preprint",
  "updated_at": "2026-10-30T12:22:41Z",
  "url": "https://research.draconitic.com/paper/ar8nk6yb8ezqa",
  "venue": "bioRxiv",
  "versions": []
}