HUPO_2014_poster.pdf (671.79 kB)
A state-of-the-art machine learning pipeline for the analysis of spatial proteomics data
poster
posted on 2017-05-25, 19:40 authored by Laurent GattoLaurent Gatto, Lisa M. Breckels, Thomas Naake, Samual Wieczorek, Thomas Burger, Kathryn S. LilleyPoster presented at the HUPO conference in 2014
Organelle proteomics, or spatial proteomics, is the systematic study of proteins and their assignment to subcellular niches including organelles. pRoloc and pRolocGUI are R/Bioconductor packages that implement all the necessary tools for the sound and reproducible analysis and interactive exploration of spatial proteomics data from any type of experiment such as LOPIT, PCP or PCP-SILAC.
Organelle proteomics, or spatial proteomics, is the systematic study of proteins and their assignment to subcellular niches including organelles. pRoloc and pRolocGUI are R/Bioconductor packages that implement all the necessary tools for the sound and reproducible analysis and interactive exploration of spatial proteomics data from any type of experiment such as LOPIT, PCP or PCP-SILAC.
