Rxivist logo

A multi-omics digital research object for the genetics of sleep regulation.

By Maxime Jan, Nastassia Gobet, Shanaz Diessler, Paul Franken, Ioannis Xenarios

Posted 22 Mar 2019
bioRxiv DOI: 10.1101/586206 (published DOI: 10.1038/s41597-019-0171-x)

More and more researchers make use of multi-omics approaches to tackle complex cellular and organismal systems. It has become apparent that the potential for re-use and integrate data generated by different labs can enhance knowledge. However, a meaningful and efficient re-use of data generated by others is difficult to achieve without in depth understanding of how these datasets were assembled. We therefore designed and describe in detail a digital research object embedding data, documentation and analytics on mouse sleep regulation. The aim of this study was to bring together electrophysiological recordings, sleep-wake behavior, metabolomics, genetics, and gene regulatory data in a systems genetics model to investigate sleep regulation in the BXD panel of recombinant inbred lines. We here showcase both the advantages and limitations of providing such multi-modal data and analytics. The reproducibility of the results was tested by a bioinformatician not implicated in the original project and the robustness of results was assessed by re-annotating genetic and transcriptome data from the mm9 to the mm10 mouse genome assembly.

Download data

  • Downloaded 305 times
  • Download rankings, all-time:
    • Site-wide: 49,686 out of 85,229
    • In bioinformatics: 5,654 out of 8,149
  • Year to date:
    • Site-wide: 63,038 out of 85,229
  • Since beginning of last month:
    • Site-wide: 28,710 out of 85,229

Altmetric data


Downloads over time

Distribution of downloads per paper, site-wide


PanLingua

Sign up for the Rxivist weekly newsletter! (Click here for more details.)


News