bioRxivBioinformaticsPreprint
FASTGenomics: An analytical ecosystem for single-cell RNA sequencing data
Claus Jürgen ScholziD, Paweł BiernatiD, Matthias BeckeriD, Kevin E. BassleriD, Patrick S. GüntheriD, Jenny Balfer, Henning DickteniD, Lars Flöer, Kathrin Heikamp, Philipp AngereriD, Mathias Heilig, Ralf Karle, Meike KöhleriD, Thomas Mazurkiewicz, Martin Mönnighoff, Christian Georg Sauer, Albrecht Schick, Gerhard SchlemmiD, Roland Weigelt, Martin Winkler, Thomas UlasiD, Fabian Joachim TheisiD, Stephan Huthmacher, Christina KratschiD, Joachim Ludwig SchultzeiD
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.
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