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September 18, 2019 Vascular Surgery (Springer)
Artificial intelligence in single cell genomics
The individual cell represents the fundamental unit of life. Its manner of functioning has been the focus of biomedical research for centuries. In recent years, advances in high throughput so-called single cell sequencing techniques have made it possible to study individual cells and their genetic profile. This enables revolutionary new insights into tissue composition, cell–cell interactions and dynamic processes in health and disease. The resulting profile data, e.g. from single cell transcriptomics, however, provide analysts with new challenges: data sets are typically very large, noisy and highly interconnected with other annotation data, making them unsuitable for established procedures. The setting calls for the application of novel algorithms originating from the field of artificial intelligence, which are adapted to deal with this type of challenge.
Dickten, Kratsch & Reiz (2019). Die künstliche Intelligenz in der Einzelzellgenomik. Gefässchirurgie. doi: 10.1007/s00772-019-00572-9
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September 1, 2018 Laborjournal
FASTGenomics – Single-Cell IT aus Bonn (2018)
Abstract (publication in german): FASTGenomics offers tools and workflows for the analysis of single-cell transcriptomics data. The FASTGenomics project is led by Comma Soft AG in collaboration with the LIMES Institute in Bonn, Germany. Modern single-cell RNA-seq technologies generate vast amounts of data that cannot be analyzed with conventional pipelines. FASTGenomics offers easy-to-use workflows and AI-based analyses and allows sharing of data and results. In this endeavour, FASTGenomics was granted support by the Federal Ministry for Economic Affairs and Energy on the basis of a decision of the German Bundestag. The flagship project FASTGenomics is part of the Smart Data grant and develops Big Data technology for LifeScience use-cases.
Rembold 2018, FASTGenomics – Single-Cell IT aus Bonn, in: Laborjournal, 09, p52-53
March 22, 2018 BiorXiv
FASTGenomics: An analytical ecosystem for single-cell RNA sequencing data
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.
July 13, 2017 BigData Insider
Datenflut bei der Genomsequenzierung (2017)
Die Einzelzellsequenzierung des menschlichen Genoms stellt große Herausforderungen an deutsche Forschungseinrichtungen. Problem sind die gigantischen Datenmengen.
Mit einer speziellen Plattform zur Analyse will das Projekt FASTGenomics die Analyse der Daten nun vereinfachen. Die Plattform, die im Rahmen des vom Bundesministerium für Wirtschaft und Energie (BMWi) geförderten Programms „Smart Data – Innovation aus Daten“ entwickelt wird, soll einerseits nutzerfreundlich sein, andererseits hohen datenschutzrechtlichen Standards entsprechen.
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