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expression 3. Front real time Web UI interactive. Back end data loading processing must keep up with exponential growth of sequence data due to the rapid drop in cost of sequencing technology. 4. heterogeneous, complex, structural, and hierarchical biological data. 5. metagenomic samples can vary by several orders of magnitude, such as several hundred thousand genes to a billion genes keyword searches, BLAST databases, USEARCH databases 4. Linux cluster, Oracle RDBMS server, large memory machines, standard Linux interactive hosts 5. sequencing and comparative analysis techniques for highly complex data 6. descriptive statistics annotated datasets for offline analysis. 4. ability to query and browse data via interactive Web UI. 5. visualize structure [of data] at different levels of resolution. Ability to view abstract representations of highly similar data. 21 Diabetes 1. distributed EHR data 2. over 5 million patients with thousands of properties each and many more that are derived from primary values. 3. each record, a range of 100 to 100,000 data property values average of 100 controlled vocabulary values and 1000 continuous values. 4. none but data updated 1. data integration, using ontological annotation and taxonomies 2. parallel retrieval algorithms for both indexed and custom searches, identify data of interest. Patient cohorts, patients meeting certain criteria, patients sharing similar characteristics 3. distributed graph mining algorithms, pattern analysis and graph indexing, pattern searching on 1. data warehouse, open source indexed Hbase 2. supercomputers, cloud and parallel computing 3. I/O intensive processing 4. HDFS storage 5. custom code to develop new properties from stored data. 1. efficient based visualization is needed 1. protection of health data in accordance with legal requirements - eg, HIPAA - and privacy policies. 2. security policies for different user roles. 1. data annotated based on domain ontologies or taxonomies. 2. to ensure traceability of data, from origin [initial point of collection] through to use. 3. convert data from existing data warehouse into RDF triples 1. mobile access