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Data Intensive Computing for Bioinformatics

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Figure

Figure 1. Pipeline for analysis of metagenomics Data
Figure 3. Data decomposition of parallel GTM for computing responsibility matrix
Figure 4. Performance of Parallel SMACOF for 20K PubChem data with 32,64, and 128 cores in Cluster-E and Cluster-C w.r.t
Figure 5. Performance of Parallel GTM for 20K PubChem data with 16, 32 and 64 cores running on Cluster-E (32 and 64 cores) and Cluster-F (16 cores) plotted with absicca defining the the
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