Motivation: Experimental spatial proteomics, ie the high-throughput assignment of proteins
to sub-cellular compartments based on quantitative proteomics data, promises to shed new
light on many biological processes given adequate computational tools. Results: Here we
present pRoloc, a complete infrastructure to support and guide the sound analysis of
quantitative mass-spectrometry-based spatial proteomics data. It provides functionality for
unsupervised and supervised machine learning for data exploration and protein …

Motivation: Experimental spatial proteomics, ie the high-throughput assignment of proteins
to sub-cellular compartments based on quantitative proteomics data, promises to shed new
light on many biological processes given adequate computational tools. Results: Here we
present pRoloc, a complete infrastructure to support and guide the sound analysis of
quantitative massspectrometry based spatial proteomics data. It provides functionality for
unsupervised and supervised machine learning for data exploration and protein …