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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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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 |
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author | Rydén, Martin Englund, Martin Ali, Neserin |
author_facet | Rydén, Martin Englund, Martin Ali, Neserin |
author_sort | Rydén, Martin |
collection | PubMed |
description | 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 Further, it maintains annotation data sources up to date, overcoming a common problem with use of outdated information and seamlessly integrates multiple R-packages for an improved user-experience.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. |
format | Online Article Text |
id | pubmed-8545334 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-85453342021-10-26 ProteoMill: efficient network-based functional analysis portal for proteomics data Rydén, Martin Englund, Martin Ali, Neserin Bioinformatics Original Papers 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. Oxford University Press 2021-05-12 /pmc/articles/PMC8545334/ /pubmed/33978717 http://dx.doi.org/10.1093/bioinformatics/btab373 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Papers Rydén, Martin Englund, Martin Ali, Neserin ProteoMill: efficient network-based functional analysis portal for proteomics data |
title | ProteoMill: efficient network-based functional analysis portal for proteomics data |
title_full | ProteoMill: efficient network-based functional analysis portal for proteomics data |
title_fullStr | ProteoMill: efficient network-based functional analysis portal for proteomics data |
title_full_unstemmed | ProteoMill: efficient network-based functional analysis portal for proteomics data |
title_short | ProteoMill: efficient network-based functional analysis portal for proteomics data |
title_sort | proteomill: efficient network-based functional analysis portal for proteomics data |
topic | Original Papers |
url | 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 |
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