Literature DB >> 12960178

PROTEOME-3D: an interactive bioinformatics tool for large-scale data exploration and knowledge discovery.

Deborah H Lundgren1, Jimmy Eng, Michael E Wright, David K Han.   

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.

Mesh:

Year:  2003        PMID: 12960178      PMCID: PMC1487189          DOI: 10.1074/mcp.M300059-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  44 in total

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Journal:  Nature       Date:  2001-02-15       Impact factor: 49.962

Review 3.  Phagocyte receptors for apoptotic cells: recognition, uptake, and consequences.

Authors:  V A Fadok; D L Bratton; P M Henson
Journal:  J Clin Invest       Date:  2001-10       Impact factor: 14.808

Review 4.  Protein microarrays and proteomics.

Authors:  Gavin MacBeath
Journal:  Nat Genet       Date:  2002-12       Impact factor: 38.330

5.  Overview of the Alliance for Cellular Signaling.

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Journal:  Nature       Date:  2002-12-12       Impact factor: 49.962

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8.  Metabolic databases.

Authors:  P D Karp
Journal:  Trends Biochem Sci       Date:  1998-03       Impact factor: 13.807

9.  CHC1-L, a candidate gene for prostate carcinogenesis at 13q14.2, is frequently affected by loss of heterozygosity and underexpressed in human prostate cancer.

Authors:  Alain Latil; Patrice Morant; Georges Fournier; Philippe Mangin; Philippe Berthon; Olivier Cussenot
Journal:  Int J Cancer       Date:  2002-06-10       Impact factor: 7.396

10.  Clinical significance of alterations of chromosome 8 detected by fluorescence in situ hybridization analysis in pathologic organ-confined prostate cancer.

Authors:  Norihiko Tsuchiya; Jeffrey M Slezak; Michael M Lieber; Erik J Bergstralh; Robert B Jenkins
Journal:  Genes Chromosomes Cancer       Date:  2002-08       Impact factor: 5.006

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  2 in total

Review 1.  Image analysis tools and emerging algorithms for expression proteomics.

Authors:  Andrew W Dowsey; Jane A English; Frederique Lisacek; Jeffrey S Morris; Guang-Zhong Yang; Michael J Dunn
Journal:  Proteomics       Date:  2010-12       Impact factor: 3.984

2.  Visualizing meta-features in proteomic maps.

Authors:  Eugenia G Giannopoulou; George Lepouras; Elias S Manolakos
Journal:  BMC Bioinformatics       Date:  2011-07-28       Impact factor: 3.169

  2 in total

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