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  "Package": "ProteinBatcher",
  "Title": "An end-to-end proteomics workflow with condition-aware\nimputation, flexible statistical modelling and interactive\nvisualization",
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  "Authors@R": "c(person(given = \"Aitor\", family =\"Moruno-Cuenca\", email = \"morunoaitor@gmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0009-0009-8133-2552\")),\nperson(given = \"Dr. Sergi\", family = \"Sayols-Puig\", email = \"sergi.sayolspuig@almirall.com\", role = c(\"ctb\"), comment = c(ORCID = \"0000-0002-3877-4170\")),\nperson(given = \"Dr. Bruna\", family = \"Oriol-Tordera\", email = \"bruna.orioltordera@almirall.com\", role = c(\"ctb\"), comment = c(ORCID = \"0000-0002-2714-9097\")),\nperson(given = \"Dr. Hiba\", family = \"Salim\", email = \"hiba.salim@crg.eu\", role = c(\"dtc\"), comment = c(ORCID = \"0000-0002-2168-0258\")),\nperson(given = \"Dr. Francesc\", family = \"Fernández-Albert\", email = \"francesc.fernandez@almirall.com\", role = c(\"ths\"), comment = c(ORCID = \"0000-0001-5561-0701\")),\nperson(given = \"Prof. Dr. Alexandre\", family = \"Perera-Lluna\", email = \"alexandre.perera@upc.edu\", role = c(\"ths\"), comment = c(ORCID = \"0000-0001-6427-851X\")),\nperson(given = \"Dr. Guadalupe\", family = \"Espadas-García\", email = \"guadalupe.espadas@crg.eu\", role = c(\"ctb\", \"dtc\"), comment = c(ORCID = \"0000-0002-6415-8013\")),\nperson(given = \"Dr. Elisa\", family = \"Monzón-Casanova\", email = \"elisa.monzoncasanova@almirall.com\", role = c(\"ctb\", \"fnd\"), comment = c(ORCID = \"0000-0001-6617-6138\")),\nperson(given = \"Prof. Dr. Eduard\", family = \"Sabidó-Aguade\", email = \"eduard.sabido@upf.edu\", role = c(\"res\", \"ctb\", \"dtc\", \"fnd\"), comment = c(ORCID = \"0000-0001-6506-7714\")))",
  "Description": "ProteinBatcher provides utilities to read, validate, and\nharmonize quantitative proteomics result tables generated by\nDIA-NN from data-independent acquisition mass spectrometry\nexperiments. The package enables batch processing of multiple\nDIA-NN output files, consistent handling of protein identifiers\nand associated metadata, and transformation of tabular data\ninto analysis-ready formats. It facilitates downstream\ndifferential abundance analysis using linear modeling\nframeworks based on limma, with explicit support for\nmultivariable experimental designs including batch effects and\nother confounding covariates, as well as correlation-aware\ndesigns via duplicateCorrelation.",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/DataScienceRD-Almirall/ProteinBatcher",
  "BugReports": "https://github.com/DataScienceRD-Almirall/ProteinBatcher/issues",
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  "Date/Publication": "2026-08-21 16:59:35 UTC",
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