Pharmaceutical Business review

IDBS Enhances InforSense Suite 5.1 For Research, Scientific Collaboration

New features in InforSense Suite 5.1 allow users to load their own data, add their own views using VisualSense charts, customize the views and share them with other end users.

InforSense Suite 5.1 enables scientists to find services and visualization using a new portal search engine, which enables users to easily view, analyze and retrieve data.

Researchers can understand and navigate through large amounts of data quickly and combine data from any source inside or outside an organization, improving sharing and collaboration. By creating an ecosystem of scientists working together, company knowledge and new insights are quickly incorporated into everyone’s activities.

In addition, a new connector to the R statistics package enables this powerful platform to be accessed via InforSense Suite 5.1, allowing pre-built and new R algorithms to be used via VisualSense interfaces. This capability is especially useful for the analysis of gene expression experimental results where R is widely used.

Yike Guo, chief innovation officer at IDBS, said: With these improvements to the look, feel and performance of InforSense Suite 5.1, IDBS is providing innovative functionality that empowers bench scientists to interpret data and share it in a visually powerful way with their colleagues and collaborators. These enhancements enable researchers to be producers of data as well as consumers and, at the same time, remove the reliance on informaticians to carry out their data manipulation and analysis.

UK-based IDBS is a global supplier of data management and analytics solutions, which increase efficiency, reduce costs and improve business and scientific productivity of R&D organizations worldwide.

Organizations such as Pfizer, GSK, Celera, MedImmune, Dana-Farber and Roche employ IDBS solutions as an integral part of their strategy to address the increasing pressures placed upon them by the need for the secure, compliant capture, integration and analysis of complex research data.