Department of Experimental Biology, Faculty of Science, Masaryk University
The original implementation of Echo, despite of being based on very robust algorithm, was designed to deal with small sized sequencing data. We reimplemented the algorithm to deal with large data and to leverage parallelism—speedup up to 40x and 10x reduction of memory footprint was achieved. The new implementation allows handling large data sets which was not feasible before. The work carries on with defining methods of thorough evaluation of the implementation correctness which is not trivial for a randomized algorithm.
This work was supported by the projects OP RI: CERIT Scientific Cloud LM2015085; OP RI: ELIXIR CZ – Czech National Infrastructure for Biological Data LM2015047.
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