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Updated: Nov 6, 2025

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
ProteoMill: efficient network-based functional analysis portal for proteomics data
Martin Rydén1, Martin Englund1, Neserin Ali2
1Department of Clinical Sciences Lund, Orthopedics, Clinical Epidemiology Unit, Lund University, SE-22185 Lund, Sweden.
Summary:
Functional analysis has become a common approach to incorporate biological knowledge into the analysis of omics data, and to explore molecular events that govern a disease state. It is though only one step in a wider analytical pipeline that typically requires use of multiple individual analysis software. There is currently a need for a well-integrated omics analysis tool that performs all the steps. The ProteoMill portal is developed as an R Shiny application and integrates all necessary steps from data-upload, converting identifiers, to quality control, differential expression and network-based functional analysis into a single fast, interactive easy to use workflow. Further, it maintains annotation data sources up to date, overcoming a common problem with use of outdated information and seamlessly integrates multiple R-packages for an improved user-experience. The functionality provided in this software can benefit researchers by facilitating the exploratory analysis of proteomics data.
Availability And Implementation:
ProteoMill is available at https://proteomill.com.
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