Erhöhen von Identifizierungen und Reduzieren fehlende Werte bei Proteomik-Experimenten

mediaTUM (Technical University of Munich) 2026 Thesis Open access

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Authors: Firas Hamood
Cited by: 0

Abstract

Isobaric labeling experiments in proteomics suffer from missing values that hinder data analysis. This thesis developed the SIMSI-Toolkit with two tools: SIMSI-Transfer uses spectrum clustering to transfer peptide IDs between measurements, reducing missing values by up to 21%. ProSIMSIt adds FDR control and increased identifications via restoring. The toolkit advances proteomics by recovering missing data and unlocking biological insights.

Fields of Study & Subjects

Advanced Proteomics Techniques and Applications Bioinformatics and Genomic Networks Advanced Biosensing Techniques and Applications

Publication details

Journal / source
mediaTUM (Technical University of Munich)
Publication date
13 January 2026
Language
EN
Document type
Thesis