{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Blank C"],"funding":["National Institute of Health","National Science Foundation"],"pagination":["E7"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC5874766"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["6(1)"],"pubmed_abstract":["The impact of microbial communities, also known as the microbiome, on human health and the environment is receiving increased attention. Studying translated gene products (proteins) and comparing metaproteomic profiles may elucidate how microbiomes respond to specific environmental stimuli, and interact with host organisms. Characterizing proteins expressed by a complex microbiome and interpreting their functional signature requires sophisticated informatics tools and workflows tailored to metaproteomics. Additionally, there is a need to disseminate these informatics resources to researchers undertaking metaproteomic studies, who could use them to make new and important discoveries in microbiome research. The Galaxy for proteomics platform (Galaxy-P) offers an open source, web-based bioinf"],"journal":["Proteomes"],"pubmed_title":["Disseminating Metaproteomic Informatics Capabilities and Knowledge Using the Galaxy-P Framework."],"pmcid":["PMC5874766"],"funding_grant_id":["1458524","U24CA199347"],"pubmed_authors":["Hervey WJ","Johnson J","May D","Mesuere B","Griffin TJ","Blank C","Brown Z","Kumar P","Elias JE","Tanca A","Rudney J","McGowan T","Gruening B","Nunn B","Kolmeder CA","Mehta S","Jagtap PD","Easterly C","Muth T"],"additional_accession":[]},"is_claimable":false,"name":"Disseminating Metaproteomic Informatics Capabilities and Knowledge Using the Galaxy-P Framework.","description":"The impact of microbial communities, also known as the microbiome, on human health and the environment is receiving increased attention. Studying translated gene products (proteins) and comparing metaproteomic profiles may elucidate how microbiomes respond to specific environmental stimuli, and interact with host organisms. Characterizing proteins expressed by a complex microbiome and interpreting their functional signature requires sophisticated informatics tools and workflows tailored to metaproteomics. Additionally, there is a need to disseminate these informatics resources to researchers undertaking metaproteomic studies, who could use them to make new and important discoveries in microbiome research. The Galaxy for proteomics platform (Galaxy-P) offers an open source, web-based bioinf","dates":{"release":"2018-01-01T00:00:00Z","publication":"2018 Jan","modification":"2025-04-26T22:12:44.165Z","creation":"2019-03-26T23:23:24Z"},"accession":"S-EPMC5874766","cross_references":{"pubmed":["29385081"],"doi":["10.3390/proteomes6010007"]}}