Plate IV.401 · Publications

FASTGenomics: An analytical ecosystem for single-cell RNA sequencing data

Preprint in bioRxiv, 15 March 2018.

PreprintOpen accessResearch area: Representations, Single Cell

Authors

  1. Claus J. Scholz
  2. Paweł Biernat
  3. Matthias Becker
  4. Kevin Baßler
  5. Patrick Günther
  6. Jenny Balfer
  7. Henning Dickten
  8. Lars Flöer
  9. Kathrin Heikamp
  10. Philipp Angerer
  11. Mathias Heilig
  12. Ralf Karle
  13. Meike Köhler
  14. Thomas Mazurkiewicz
  15. Martin Mönnighoff
  16. Christian Sauer
  17. Albrecht Schick
  18. Gerhard Schlemm
  19. Roland Weigelt
  20. Martin Winkler
  21. Thomas Ulas
  22. Fabian Theis
  23. Stephan Huthmacher
  24. Christina Kratsch
  25. Joachim L. Schultze

Abstract

Recent technological advances enable genomics of individual cells, the building blocks of all living organisms. Single cell data characteristics differ from those of bulk data, which led to a plethora of new analytical strategies. However, solutions are only useful for experts and currently, there are no widely accepted gold standards for single cell data analysis. To meet the requirements of analytical flexibility, ease of use and data security, we developed FASTGenomics (https://fastgenomics.org) as a powerful, efficient, versatile, robust, safe and intuitive analytical ecosystem for single-cell transcriptomics.

Cite

@misc{scholz2018fastgenomics,
  title = {{FASTGenomics: An analytical ecosystem for single-cell RNA sequencing data}},
  author = {Scholz, Claus J. and Biernat, Paweł and Becker, Matthias and Baßler, Kevin and Günther, Patrick and Balfer, Jenny and Dickten, Henning and Flöer, Lars and Heikamp, Kathrin and Angerer, Philipp and Heilig, Mathias and Karle, Ralf and Köhler, Meike and Mazurkiewicz, Thomas and Mönnighoff, Martin and Sauer, Christian and Schick, Albrecht and Schlemm, Gerhard and Weigelt, Roland and Winkler, Martin and Ulas, Thomas and Theis, Fabian and Huthmacher, Stephan and Kratsch, Christina and Schultze, Joachim L.},
  howpublished = {bioRxiv},
  publisher = {openRxiv},
  year = {2018},
  month = mar,
  doi = {10.1101/272476},
  url = {https://doi.org/10.1101/272476},
  note = {Preprint}
}
.bib file