@article{ryden_proteomill_2021,
	title = {{ProteoMill}: efficient network-based functional analysis portal for proteomics data},
	volume = {37},
	issn = {1367-4803},
	shorttitle = {{ProteoMill}},
	url = {https://doi.org/10.1093/bioinformatics/btab373},
	doi = {10.1093/bioinformatics/btab373},
	abstract = {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 Further, it maintains annotation data sources up to date, overcoming a common problem with use of outdated information and seamlessly integrates multiple R-packages for an improved user-experience.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.ProteoMill is available at https://proteomill.com.},
	number = {20},
	urldate = {2023-09-12},
	journal = {Bioinformatics},
	author = {Rydén, Martin and Englund, Martin and Ali, Neserin},
	month = oct,
	year = {2021},
	pages = {3491--3493},
}

{"_id":"o6Cye75zjhSzpyhZ6","bibbaseid":"rydn-englund-ali-proteomillefficientnetworkbasedfunctionalanalysisportalforproteomicsdata-2021","author_short":["Rydén, M.","Englund, M.","Ali, N."],"bibdata":{"bibtype":"article","type":"article","title":"ProteoMill: efficient network-based functional analysis portal for proteomics data","volume":"37","issn":"1367-4803","shorttitle":"ProteoMill","url":"https://doi.org/10.1093/bioinformatics/btab373","doi":"10.1093/bioinformatics/btab373","abstract":"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.ProteoMill is available at https://proteomill.com.","number":"20","urldate":"2023-09-12","journal":"Bioinformatics","author":[{"propositions":[],"lastnames":["Rydén"],"firstnames":["Martin"],"suffixes":[]},{"propositions":[],"lastnames":["Englund"],"firstnames":["Martin"],"suffixes":[]},{"propositions":[],"lastnames":["Ali"],"firstnames":["Neserin"],"suffixes":[]}],"month":"October","year":"2021","pages":"3491–3493","bibtex":"@article{ryden_proteomill_2021,\n\ttitle = {{ProteoMill}: efficient network-based functional analysis portal for proteomics data},\n\tvolume = {37},\n\tissn = {1367-4803},\n\tshorttitle = {{ProteoMill}},\n\turl = {https://doi.org/10.1093/bioinformatics/btab373},\n\tdoi = {10.1093/bioinformatics/btab373},\n\tabstract = {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.ProteoMill is available at https://proteomill.com.},\n\tnumber = {20},\n\turldate = {2023-09-12},\n\tjournal = {Bioinformatics},\n\tauthor = {Rydén, Martin and Englund, Martin and Ali, Neserin},\n\tmonth = oct,\n\tyear = {2021},\n\tpages = {3491--3493},\n}\n\n","author_short":["Rydén, M.","Englund, M.","Ali, N."],"key":"ryden_proteomill_2021","id":"ryden_proteomill_2021","bibbaseid":"rydn-englund-ali-proteomillefficientnetworkbasedfunctionalanalysisportalforproteomicsdata-2021","role":"author","urls":{"Paper":"https://doi.org/10.1093/bioinformatics/btab373"},"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://api.zotero.org/groups/5155143/items?key=IVTAjWy1U5EkGJqE2Z2qQCfh&format=bibtex&limit=100","dataSources":["7PYyrRz6AvkoBBchz","NGDbv8dMYDaDn8kqm","5jEuhQhgRx3py8LmG","LPTeGao77ndnG4Tks"],"keywords":[],"search_terms":["proteomill","efficient","network","based","functional","analysis","portal","proteomics","data","rydén","englund","ali"],"title":"ProteoMill: efficient network-based functional analysis portal for proteomics data","year":2021}