{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Bhuvaneshwar K"],"funding":["CCR NIH HHS","FDA","NCATS NIH HHS","NCI","NIH/NCATS","FDA HHS","Georgetown University Medical Center","NCI NIH HHS"],"pagination":["193"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC4851789"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["17(1)"],"pubmed_abstract":["<h4>Background</h4>G-DOC Plus is a data integration and bioinformatics platform that uses cloud computing and other advanced computational tools to handle a variety of biomedical BIG DATA including gene expression arrays, NGS and medical images so that they can be analyzed in the full context of other omics and clinical information.<h4>Results</h4>G-DOC Plus currently holds data from over 10,000 patients selected from private and public resources including Gene Expression Omnibus (GEO), The Cancer Genome Atlas (TCGA) and the recently added datasets from REpository for Molecular BRAin Neoplasia DaTa (REMBRANDT), caArray studies of lung and colon cancer, ImmPort and the 1000 genomes data sets. The system allows researchers to explore clinical-omic data one sample at a time, as a cohort of sa"],"journal":["BMC bioinformatics"],"pubmed_title":["G-DOC Plus - an integrative bioinformatics platform for precision medicine."],"pmcid":["PMC4851789"],"funding_grant_id":["8UL1 TR000101 03","HHSN261200800001E","UL1 TR001409","UL1 TR000101","HHSN261200800001C","U01 FD004319","U54 CA149147"],"pubmed_authors":["Song L","Belouali A","Bhuvaneshwar K","Alaoui A","Clarke R","Madhavan S","Gusev Y","Harris MA","Johnson RM","Weiner LM","Singh V"],"additional_accession":[]},"is_claimable":false,"name":"G-DOC Plus - an integrative bioinformatics platform for precision medicine.","description":"<h4>Background</h4>G-DOC Plus is a data integration and bioinformatics platform that uses cloud computing and other advanced computational tools to handle a variety of biomedical BIG DATA including gene expression arrays, NGS and medical images so that they can be analyzed in the full context of other omics and clinical information.<h4>Results</h4>G-DOC Plus currently holds data from over 10,000 patients selected from private and public resources including Gene Expression Omnibus (GEO), The Cancer Genome Atlas (TCGA) and the recently added datasets from REpository for Molecular BRAin Neoplasia DaTa (REMBRANDT), caArray studies of lung and colon cancer, ImmPort and the 1000 genomes data sets. The system allows researchers to explore clinical-omic data one sample at a time, as a cohort of sa","dates":{"release":"2016-01-01T00:00:00Z","publication":"2016 Apr","modification":"2026-07-15T16:31:08.164Z","creation":"2026-07-07T03:08:27.332Z"},"accession":"S-EPMC4851789","cross_references":{"pubmed":["27130330"],"doi":["10.1186/s12859-016-1010-0"]}}