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Fig. 1.

Fig. 1. From: The Sleipnir library for computational functional genomics.

Sample application of the Sleipnir library to integrate 186 heterogeneous genomic datasets in S.cerevisiae within 200 biological contexts. White boxes indicate externally generated data, grey boxes data generated by Sleipnir, arrows processing performed by Sleipnir, and black bubbles highlight time-consuming tasks. Times were generated on a 2 GHz Intel Xeon CPU; peak RAM usage was ∼200 MB. Sleipnir is extensively parallelizable, and running these tasks on four cores reduces processing time by an optimal 4-fold to ∼13 h each for Bayesian learning and inference.

Curtis Huttenhower, et al. Bioinformatics. 2008 July 1;24(13):1559-1561.

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