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ProteoMill: efficient network-based functional analysis portal for proteomics data

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 ana...

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Detalles Bibliográficos
Autores principales: Rydén, Martin, Englund, Martin, Ali, Neserin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545334/
https://www.ncbi.nlm.nih.gov/pubmed/33978717
http://dx.doi.org/10.1093/bioinformatics/btab373
Descripción
Sumario: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 Further, it maintains annotation data sources up to date, overcoming a common problem with use of outdated information and seamlessly integrates multiple R-packages for an improved user-experience.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.