Visualization & Analytics
To accommodate an exponential growth in data generated by business processes, organizations have invested heavily in building data warehouses that store and allow large volumes of data to be easily queried. However, very few applications exist that actually help business users in their decision making. Data mining and analytics applications fill this business need. One of the reasons why such applications are not widely available is because of the unique nature of the Life Science domain. A deep understanding of the domain as well as expertise in data mining algorithms is required to build these applications.
Persistent has a decade-long practice in developing large-scale Data Warehousing, Business Intelligence and Analytics solutions for some of the leading companies and ISVs in the Life Science domain.
Persistent’s Offerings
- Analytics of life sciences data
- Implementation of life science algorithms for microarray, proteomics, sequencing, spectroscopic data
- Testing of life sciences algorithms
- Interfacing client software with 3rd party or open source analytical tools like R, Bioconductor, Matlab, Spotfire, SPSS, Clementine, SAS
- Componentized the analysis suites for life sciences into libraries of algorithms
- Reusable parsing framework and components for biological data formats
- Domain specific transformation strategies
- Mapping of multimodality data from annotations, experimental, clinical, chemical, biological
- • Visualization of life sciences data
- Implement visualization techniques for structured, unstructured and domain specific data sets
- Ready visualization tools and libraries for heatmaps, 3D scatter plot, interactive bar graph, line plot, network graph
- Animated sequence assembly visualization framework using multiple fixed resolutions to show contigs, gaps, quality, coverage, sequence, etc.
- Mutation Viewer framework to compare gene sequences from multiple patients
- Flash based tools for visual predictive analysis of clinical trial data