PROTEOME-3D: an interactive bioinformatics tool for large-scale data exploration and knowledge discovery |
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Authors: | Lundgren Deborah H Eng Jimmy Wright Michael E Han David K |
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Institution: | Center for Vascular Biology, Department of Physiology, University of Connecticut School of Medicine, 263 Farmington Avenue, Farmington, CT 06030, USA. |
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Abstract: | Comprehensive understanding of biological systems requires efficient and systematic assimilation of high-throughput datasets in the context of the existing knowledge base. A major limitation in the field of proteomics is the lack of an appropriate software platform that can synthesize a large number of experimental datasets in the context of the existing knowledge base. Here, we describe a software platform, termed PROTEOME-3D, that utilizes three essential features for systematic analysis of proteomics data: creation of a scalable, queryable, customized database for identified proteins from published literature; graphical tools for displaying proteome landscapes and trends from multiple large-scale experiments; and interactive data analysis that facilitates identification of crucial networks and pathways. Thus, PROTEOME-3D offers a standardized platform to analyze high-throughput experimental datasets for the identification of crucial players in co-regulated pathways and cellular processes. |
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