TY - CONF A1 - Holstein, Tanja A1 - Verschaffelt, P. A1 - Kistner, Franziska A1 - Martens, L. A1 - Muth, Thilo T1 - Probability based taxonomic profiling of viral and microbiome samples using PepGM and Unipept N2 - In mass spectrometry based proteomics, protein homology leads to many shared peptides within and between species. This complicates taxonomic inference in samples of unknown taxonomic origin. PepGM uses a graphical model for taxonomic profiling of viral proteomes and metaproteomic datasets providing taxonomic confidence scores. To build the graphical model, a list of potentially present taxa needs to be inferred. To this end, we integrate Unipept, which enables the fast querying of potentially present taxa. Together, they allow for taxonomic inference with statistically sound confidence scores. T2 - HUPO 2022 world congress CY - Cancun, Mexico DA - 04.12.2022 KW - Bioinformatics KW - Mass spectrometry KW - Taxonomic analysis KW - Microbiomes PY - 2022 AN - OPUS4-56748 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -