MetaOmGraph: a workbench for interactive exploratory data analysis of large expression datasets.

ABSTRACT: The diverse and growing omics data in public domains provide researchers with tremendous opportunity to extract hidden, yet undiscovered, knowledge. However, the vast majority of archived data remain unused. Here, we present MetaOmGraph (MOG), a free, open-source, standalone software for exploratory analysis of massive datasets. Researchers, without coding, can interactively visualize and evaluate data in the context of its metadata, honing-in on groups of samples or genes based on attributes such as expression values, statistical associations, metadata terms and ontology annotations. Interaction with data is easy via interactive visualizations such as line charts, box plots, scatter plots, histograms and volcano plots. Statistical analyses include co-expression analysis, differential expr

SUBMITTER: Singh U 

PROVIDER: S-EPMC7039010 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature