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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) Collect: the gathering or entering of data into the database; (ii) Manage: the inspection and handling of data inside the database; (iii) Analyze: detect patterns and statistically significant differences in the data using algorithms and statistical tests; (iv) Visualize: creating graphs and other visualizations; and (v) 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:
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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Installation
MOLGENIS Research can be installed first setting up a default MOLGENIS, followed by importing an EMX file with custom menu structure and minimal demo data. In a nutshell:
- Download and install MOLGENIS (v5.1.0) at: http://search.maven.org/remotecontent?filepath=org/molgenis/molgenis-app/5.1.0/molgenis-app-5.1.0.war
- Download and import MOLGENIS Research (v0.1) at: http://molgenis.org/downloads/molgenis-research/MOLGENIS_Research_v0.1.xlsx
- For detailed instructions and more installation options, please see the documentation at: http://molgenis.github.io/
Demo and citation
A functional MOLGENIS Research demo application is running at: https://molgenisXX.gcc.rug.nl.
This work has been published as Van der Velde et al. MOLGENIS Research: Advanced bioinformatics software for non-bioinformaticians, PubMed? ID xxxx, DOI: xxxxx.
Attachments (2)
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molgenis_research_demodata_Smith_Kruglyak_2008.xlsx (2.8 MB) - added by 7 years ago.
Yeast demo dataset for MOLGENIS Research
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molgenis_research_demoanalysis_Smith_Kruglyak_2008.R (1.1 KB) - added by 7 years ago.
Yeast demo analysis for MOLGENIS Research
Download all attachments as: .zip