%0 Journal Article %A Claus J. Scholz %A Paweł Biernat %A Matthias Becker %A Kevin Baßler %A Patrick Günther %A Jenny Balfer %A Henning Dickten %A Lars Flöer %A Kathrin Heikamp %A Philipp Angerer %A Mathias Heilig %A Ralf Karle %A Meike Köhler %A Thomas Mazurkiewicz %A Martin Mönnighoff %A Christian Sauer %A Albrecht Schick %A Gerhard Schlemm %A Roland Weigelt %A Martin Winkler %A Thomas Ulas %A Fabian Theis %A Stephan Huthmacher %A Christina Kratsch %A Joachim L. Schultze %T FASTGenomics: An analytical ecosystem for single-cell RNA sequencing data %D 2018 %R 10.1101/272476 %J bioRxiv %P 272476 %X 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. %U https://www.biorxiv.org/content/biorxiv/early/2018/03/22/272476.full.pdf