RT Journal Article SR Electronic T1 FASTGenomics: An analytical ecosystem for single-cell RNA sequencing data JF bioRxiv FD Cold Spring Harbor Laboratory SP 272476 DO 10.1101/272476 A1 Claus J. Scholz A1 Paweł Biernat A1 Matthias Becker A1 Kevin Baßler A1 Patrick Günther A1 Jenny Balfer A1 Henning Dickten A1 Lars Flöer A1 Kathrin Heikamp A1 Philipp Angerer A1 Mathias Heilig A1 Ralf Karle A1 Meike Köhler A1 Thomas Mazurkiewicz A1 Martin Mönnighoff A1 Christian Sauer A1 Albrecht Schick A1 Gerhard Schlemm A1 Roland Weigelt A1 Martin Winkler A1 Thomas Ulas A1 Fabian Theis A1 Stephan Huthmacher A1 Christina Kratsch A1 Joachim L. Schultze YR 2018 UL http://biorxiv.org/content/early/2018/03/22/272476.abstract AB 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.