= MOLGENIS Research = == Background == The amount of biological data and biological data layers is rapidly increasing. Many medical doctors and biomedical researchers without a bio-informatics background are generating large big data so-called ’-omics’ datasets, but do not always have the skills to process, manage or publicly share these data. In this paper, we present MOLGENIS Research, an open-source web-application that allows non-bioinformaticians collect, manage, analyze, visualize and share large and complex biomedical datasets, without the need for advanced bioinformatics skills. == Data flow == MOLGENIS Research contains a selection of apps that are of particular interest to life science investigators. These apps are grouped into the five categories that represent the typical flow of research data: (i) [[span(style=color: #0000FF, '''Collect''' )]]: the gathering or entering of data into the database; (ii) [[span(style=color: #0000FF, '''Manage''' )]]: the inspection and handling of data inside the database; (iii) [[span(style=color: #0000FF, '''Analyze''' )]]: detect patterns and statistically significant differences in the data using algorithms and statistical tests; (iv) [[span(style=color: #0000FF, '''Visualize''' )]]: creating graphs and other visualizations; and (v) [[span(style=color: #0000FF, '''Share''' )]]: making data, the visualizations, and the results available to collaborators or the entire scientific community. Therefore, the menu structure of MOLGENIS Research is as follows: {{{ #!html
Home
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Collect
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Manage
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Analyze
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Visualize
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Share
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Admin
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My account
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