Imaging results per 2D image, changed with spatial extension feature clustering and 1 TB raw image data + classification 1 TB analytical results per 3D image, 1 PB data per moderated hospital per year 18 Medical diagnostic Volume of data Multi-modal imaging with Scalable key-value and Machine learning Computational imaging around 70 PB acquisition requires disparate channels of data object store databases; (support vector machine Bioimaging annually, 32 TB on HPC back end ImageJ, OMERO, [SVM] and random emerging machines VolRover, advanced forest [RF]) for for a single scan segmentation and classification and feature detection recommendation methods services 19 >100 TB in 1 to 2 ≈300 GB of File formats not Open-source Processing of raw data Genomic years at NIST, many compressed though some sequencing to produce variant calls, Measurements PBs in healthcare data/day generated standards exist; generally bioinformatics software clinical interpretation of community by DNA sequencers structured data from academic groups variants 20 50 TB New sequencers Biological data that are Standard bioinformatics Descriptive statistics, Comparative stream in data at inherently heterogeneous, tools (BLAST, HMMER, statistical significance in Analysis for growing rate complex, structural, and multiple alignment and hypothesis testing, data Metagenomes hierarchical; besides core phylogenetic tools, gene clustering and and Genomes genomic data, new types of callers, sequence classification omics data such as feature predictors), transcriptomics, methylomics, Perl/Python wrapper and proteomics scripts 21 5 million patients Not real time but 100 controlled vocabulary HDFS supplementing Integration of data into Individualized updated values and 1,000 continuous Mayo internal data semantic graphs, using Diabetes periodically values per patient, mostly warehouse (EDT) graph traverse to Management time-stamped values replace SQL join; development of semantic graph-mining algorithms to identify graph patterns, index graph, and search graph; indexed Hbase; custom code to develop new
Imaging results per 2D image, 1 TB raw image data + 1 TB analytical results per 3D image, 1 PB data per moderated hospital per year changed with spatial extension feature clustering and classification 18 Computational Bioimaging Medical diagnostic imaging around 70 PB annually, 32 TB on emerging machines for a single scan Volume of data acquisition requires HPC back end Multi-modal imaging with disparate channels of data Scalable key-value and object store databases; ImageJ, OMERO, VolRover, advanced segmentation and feature detection methods Machine learning (support vector machine [SVM] and random forest [RF]) for classification and recommendation services 19 Genomic Measurements >100 TB in 1 to 2 years at NIST, many PBs in healthcare community ≈300 GB of compressed data/day generated by DNA sequencers File formats not though some standards exist; generally structured data Open-source sequencing bioinformatics software from academic groups Processing of raw data to produce variant calls, clinical interpretation of variants 20 Comparative Analysis for Metagenomes and Genomes 50 TB New sequencers stream in data at growing rate Biological data that are inherently heterogeneous, complex, structural, and hierarchical; besides core genomic data, new types of omics data such as transcriptomics, methylomics, and proteomics Standard bioinformatics tools (BLAST, HMMER, multiple alignment and phylogenetic tools, gene callers, sequence feature predictors), Perl/Python wrapper scripts Descriptive statistics, statistical significance in hypothesis testing, data clustering and classification 21 Individualized Diabetes Management 5 million patients Not real time but updated periodically 100 controlled vocabulary values and 1,000 continuous values per patient, mostly time-stamped values HDFS supplementing Mayo internal data warehouse (EDT) Integration of data into semantic graphs, using graph traverse to replace SQL join; development of semantic graph-mining algorithms to identify graph patterns, index graph, and search graph; indexed Hbase; custom code to develop new