In this paper, we aim to build a platform that will help bridge the gap between high-dimensional computation and wet-lab experimentation by allowing users to interrogate genomic signatures at multiple molecular levels and identify best next actionable steps for downstream decision making. We introduce Multioviz: a publicly accessible R package and web application platform to easily perform in silico hypothesis testing of generated gene regulatory networks. We demonstrate the utility of Multioviz by conducting an end-to-end analysis in a statistical genetics application focused on measuring the effect of in silico perturbations of complex trait architecture. By using a real dataset from the Wellcome Trust Centre for Human Genetics, we both recapitulate previous findings and propose hypotheses about the genes involved in the percentage of immune CD8+ cells found in heterogeneous stocks of mice. Source code for the Multioviz R package is available at https://github.com/lcrawlab/multio-viz and an interactive version of the platform is available at https://multioviz.ccv.brown.edu/ .

Rapid advancement of information and communication technologies has brought both challenges and opportunities to the construction industry. There have been significant research and development efforts on the application of systems integration and collaboration technologies in construction. This paper presents a research literature review on systems integration and collaboration in architecture, engineering, construction, and facility management (AEC/FM), and discusses challenging research issues and future research opportunities.

In this paper, we draw attention to ontology as a mechanism for application integration and knowledge sharing in collaborative design. The paper provides a comprehensive literature review on this topic. It starts with its concepts, classification, and difference from other related technologies. Then the usage of ontology is discussed. Following the ontology life cycle, this paper compares several ontology authoring languages, ontology building methodologies and tools. It reviews some recent work on applying ontology to collaborative design. It concludes with a discussion on future R&D directions

Market demands are moving manufacturing from mass production to mass customization. To quickly respond to customer needs, product development teams have to work together in a collaborative design environment. The paper presents a product data driven approach to tracking of design changes in a collaborative design environment. In this research, design processes are analyzed to identify product data for tracking design changes. The relationships between product data are established using predecessor-successor, master-subordinate, and geometric constraint relationship types. Forward tracking and backward tracking are designed and implemented to identify impacts of a design change. A prototype system has been implemented to verify the effectiveness of the approach. Finally, a milling machine fixture is used as a design example to show how this approach works. The proposed approach provides a fundamental mechanism to promptly notify other designers of design changes in a collaborative design environment.