| Data and process management are among the biggest problems that the Life Sciences face today, particularly in the areas of Genomics, Proteomics, and Metabolomics. A prerequisite to systems biology that spans these thee research domains is the integration of heterogeneous raw and derived experimental data sets, which are stored in numerous life-science databases. However, a wide range of obstacles that relate to access, handling and integration impede the efficient exchange and use of the contents of these databases. The exponential growth of experimental data owing to advances and high- and ultra high- throughput technologies demand more sophisticated data and process management solutions. This thesis work is concentrated on developing a web based flexible, extensible and easy to use data management tool that enables researchers to have straightforward access to the data, and exchange information with other scientists in order to effectively answer today's complex research questions. The objective here is the development of a Laboratory Information Management System (LIMS) for Microarray facility at the Brown Cancer Center, University Of Louisville which can interoperate with a Life Science data repository such as the CGeMM Discovery System and can be easily extended to support other laboratory facilities of Life Sciences such as Proteomics, Metabolomics, and facilitate the integration of the data produced by them into a single useful context. |
