Michael J MacCoss

Jan 19, 2025 | nature.com | Lisa M. Bramer |Ernesto S. Nakayasu |Michael J MacCoss |Thomas Metz

AbstractThe deployment of liquid chromatography-mass spectrometry-based plasma proteomics experiments in a large cohort is sparse, leading to a lack of data available for benchmarking, method development or validation. Comprised of 6,426 plasma analyses, The Environmental Determinants of Diabetes in the Young (TEDDY) proteomics validation study constitutes one of the largest targeted proteomics experiments in the literature to date.

Oct 20, 2024 | biorxiv.org | Jack Freestone |Michael Riffle |Michael J MacCoss |William Noble

AbstractA pressing statistical challenge in the field of mass spectrometry proteomics is how to assess whether a given software tool provides accurate error control. Each software tool for searching such data uses its own internally implemented methodology for reporting and controlling the error. Many of these software tools are closed source, with incompletely documented methodology, and the strategies for validating the error are inconsistent across tools.

Jun 4, 2024 | biorxiv.org | Jack Freestone |Michael J MacCoss |William Noble |Michael Riffle

AbstractA pressing statistical challenge in the field of mass spectrometry proteomics is how to assess whether a given software tool provides accurate error control. Each software tool for searching such data uses its own internally implemented methodology for reporting and controlling the error. Many of these software tools are closed source, with incompletely documented methodology, and the strategies for validating the error are inconsistent across tools.

Mar 2, 2023 | nature.com | Laurent Gatto |Ruedi Aebersold |Juergen Cox |Vadim Demichev |Jason Derks |Edward Emmott | +7 more

The goal of reporting is to enable other researchers to repeat, reproduce, assess and build upon published data and their interpretation79. While reproduction and replication do not guarantee accuracy, they build trust in the analysis process through verifiability, thus strengthening confidence in the reported data and results.