The advances in information technology boosted life sciences research towards systems biology which aims at studying complex interactions in biological systems in an integrative way. Steadily improving high-throughput instruments (genome sequencers, mass spectrometers etc.) and analysis software produce large amounts of experimental data. In this paper, we report on experiences with developing and running a life sciences data management system in a productive environment. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Türker, C., Akal, F., Joho, D., & Schlapbach, R. (2009). B-fabric: An open source life sciences data management system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5566 LNCS, pp. 185–190). https://doi.org/10.1007/978-3-642-02279-1_13
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