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CLUSTOM-CLOUD: In-Memory Data Grid-Based Software for Clustering 16S rRNA Sequence Data in the Cloud Environment

Fig 5

Running time and memory usage evaluation of the k-mer transformation method.

Comparison of the memory usage (A) and running time (B) were performed with and without k-mer transformation method only at the k-mer distance calculation step. Two of 100K 16S sequences were independently and randomly extracted from the sequence datasets of high-, intermediate- and low-complexity. For each of the six different sequence datasets, the running time and memory usage were measured three times independently.

Fig 5