Visualizations

The ideal visualizations should be domain relevant and easy to elucidate data from high throughput machines, heterogeneous and complex datasets.

Visualization:

Genomics and proteomics field involves the application of data-rich computational and informatics methods to support the scientific study of complex biological problems. Recent technological and intellectual advances in genotyping, next generation sequencing and other technologies in medical field are transforming the way biological research is conducted. As a result, biological research is currently experiencing an exponential growth in academic, industry, and government sectors. This trend creates a critical need for information visualization as a important tool for quick and accurate decisions.

The team at Ocimum Biosolutions has in-depth experience in building visualization tools to represent high throughput data. All products at Ocimum have rich visualization features such as charts, graphs, heat maps, trees, genome representations, work flows, gene networks, pathways and Ontologies, and in the form of reports. The team is experienced in various visualization technologies such as Java 2D, 3D, SVG, Y-works, XML based visuals for easy import and export of data.

Ideally, visualizations should be domain relevant and easy to elucidate.

Challenges:

• High throughput data: High-throughput profiling technologies, such as next generation sequencing, gene expression, functional genomics, proteomics, and metabolomics, combined with online repositories of information ranging from sequence data to pathways, generate volumes of high-throughput data.
• Heterogeneous data: New technologies require the integration of diverse data types, including multidimensional gene expression data, sequence data, 3-dimensional molecular models, tree-structured Ontologies, clinical data and taxonomies, gene networks, metabolic pathways, and textual literature documents.
• Complex exploratory tasks: While much current biological research focuses on statistical testing of specific hypotheses, many areas such as systems biology increasingly emphasize an open-ended exploratory approach to hypothesis generation and large scale data analysis for gaining insight into exceedingly complex biological phenomena.

Our advantages:

1. More than 10 years of experience in designing and developing visualization methods for life science industry
2. Smart mix of domain knowledge and visualization technologies
3. Developed visualization tools high throughput genomics applications like gene expression, sequencing and lab information data.
4. 1.Charts, graphs and work flows are built in a flexible manner to interact with third party tools.
5. 1.Built by domain experts for domain experts