TY - CONF A1 - Holstein, Tanja A1 - Kistner, Franziska A1 - Martens, L. A1 - Muth, Thilo T1 - PepGM: A graphical model for taxonomic profiling of viral proteomes N2 - In mass spectrometry based proteomics, protein homology leads to many shared peptides within and between species. This complicates taxonomic inference. inference. We introduce PepGM, a graphical model for taxonomic profiling of viral proteomes and metaproteomic datasets. Using the graphical model, our approach computes statistically sound scores for taxa based on peptide scores from a previous database search, eliminating the need for commonly used heuristics. heuristics. T2 - European proteomics association conference 2022 CY - Leipzig, Germany DA - 03.04.2022 KW - graphical models KW - Taxonomic inference KW - Bioinformatics KW - Virus protoemics PY - 2022 AN - OPUS4-56750 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -