TY - CHAP A1 - Anteghini, Marco A1 - Martins Dos Santos, Vitor T1 - Computational Approaches for Peroxisomal Protein Localization T2 - Peroxisomes N2 - Computational approaches are practical when investigating putative peroxisomal proteins and for sub-peroxisomal protein localization in unknown protein sequences. Nowadays, advancements in computational methods and Machine Learning (ML) can be used to hasten the discovery of novel peroxisomal proteins and can be combined with more established computational methodologies. Here, we explain and list some of the most used tools and methodologies for novel peroxisomal protein detection and localization. Y1 - 2023 UR - https://opus4.kobv.de/opus4-zib/frontdoor/index/index/docId/9223 SN - 978-1-0716-3047-1 VL - 2643 SP - 405 EP - 411 PB - Humana, New York ER -