ABSTRACT
Pharmaceutical research and development generates enormous amounts of nonclinical and clinical data related to safety and efficacy, and the ability to manage and utilize these data is critical for discovering and developing new drugs. Information systems exist that store and analyze relationships among seemingly disparate data sets (ie, data silos); however, to fully utilize the potential of these informatics systems, it is necessary to define basic parameters about the data and to develop concepts regarding "interconnectivity," or relationships among disparate data sets. To explore these issues, the Nonclinical Data Interconnectivity Sub-Group was chartered: a component of the Non-Clinical Road-Map and Impacts on Implementation Working Group associated with the US FDA-PhUSE (Pharmaceutical Users Software Exchange) Computational Sciences initiative. As a starting point, the group defined the meaning of data interconnectivity. Nonclinical data types were then identified and challenges and opportunities for interconnectivity explored. Specific-use cases were identified to provide examples of the value for interconnecting data across disciplines or silos.
ABSTRACT
UNLABELLED: The advent of genomic and proteomic technologies in this post-genomic era has urged the researchers to develop novel research strategies against cancer by targeting the human genes that would greatly facilitate to identify more promising treatment and to develop accurate early diagnosis for cancer. To harness the power of cancer genetic information towards better treatment we have developed a cancer gene database called CanGeneBase (CGB). It is a comprehensive data collection of cancer-related genes with the intention of helping the researchers to stay on a single platform to gain exclusive information on the genes of their interest. According to the Cancer Gene Data Curation Project, about 4,700 genes have been identified as being related to cancer. The present CanGeneBase covers about 12 different types of cancer which includes 190 unique gene entries. Each entry encompasses about 33 useful parameters to provide detailed information about specific gene. CanGeneBase is made in such a way that it can be easily accessed by either gene symbol or by the type of cancer. AVAILABILITY: The database is freely available at http://122.165.25.137/bioinfo/cancerdb/
