The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

Cotton RJ, Ploier B, Goren MA, Menon AK, Graumann J (2017). “flippant–An R package for the automated analysis of fluorescence-based scramblase assays.” BMC Bioinformatics, 18, 146. ISSN 1471-2105, doi:10.1186/s12859-017-1542-y, http://dx.doi.org/10.1186/s12859-017-1542-y.

Corresponding BibTeX entry:

  @Article{cotton_flippantr_2017,
    title = {flippant–An R package for the automated analysis of
      fluorescence-based scramblase assays},
    volume = {18},
    rights = {All rights reserved},
    issn = {1471-2105},
    url = {http://dx.doi.org/10.1186/s12859-017-1542-y},
    doi = {10.1186/s12859-017-1542-y},
    abstract = {The lipid scrambling activity of protein extracts and
      purified scramblases is typically measured using a
      fluorescence-based assay. While the assay has yielded insight
      into the scramblase activity in crude membrane preparations,
      functional validation of candidate scramblases, stoichiometry of
      scramblase complexes as well as {ATP}-dependence of flippases,
      data analysis in its context has remained a task involving many
      manual steps.},
    pages = {146},
    journal = {{BMC} Bioinformatics},
    journaltitle = {{BMC} Bioinformatics},
    shortjournal = {{BMC} Bioinformatics},
    author = {Richard J. Cotton and Birgit Ploier and Michael A. Goren
      and Anant K. Menon and Johannes Graumann},
    urldate = {2017/03/03},
    date = {2017/03/03},
    keywords = {R, Scramblase, Dithionite scramblase assay},
    year = {2017},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.