Abstract 100: Preclinical and clinical studies data consolidation and federation using an integrative data analysis system: SIMUSITETM

Abstract One of the biggest challenges of the drug development process is to secure, access the experimental work and critical communications amongst the persons involved. These are the primary assets of any organization. These challenges stem from, (i) the data generated are collected mostly over a...

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Bibliographic Details
Published inCancer research (Chicago, Ill.) Vol. 70; no. 8_Supplement; p. 100
Main Author Vora, Meena I.
Format Journal Article
LanguageEnglish
Published 15.04.2010
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Summary:Abstract One of the biggest challenges of the drug development process is to secure, access the experimental work and critical communications amongst the persons involved. These are the primary assets of any organization. These challenges stem from, (i) the data generated are collected mostly over a long period of time. (ii) the fast pace of development of new laboratory technologies requires the project management and underlying data structure constantly changing. (iii) outsourcing of the project work. (iv) multiple modes of communications among the peers. Here we describe the data consolidation and federation module of BioPhase Systems’ SIMUSITETM (http://www.biophasesystems.com/simusite), a commercial software platform that allows users to integrate and analyze biological data from multiple experimental sources to uncover potentially valuable targets and guide the further drug development of therapeutic compounds. In order to ensure the accessibility to disparate knowledge bases, SIMUSITE has been architected using caBIGTM compatibility guidelines (http://cabig.nci.nih.gov). Though the software is built for the present needs of the industry, it is also designed to address the future challenges. A case study depicting the migration of various types of data generated from multiple third party data analysis applications is presented spanning from pre-clinical to clinical level studies. It also demonstrates the analysis of the consolidated data further in the context of the public domain knowledge on the fly, thus providing the environment to consolidate data, updating the projects dynamically and allowing the communications amongst the peers. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 100.
ISSN:0008-5472
1538-7445
DOI:10.1158/1538-7445.AM10-100