Literature DB >> 16470653

PRISM: a data management system for high-throughput proteomics.

Gary R Kiebel1, Ken J Auberry, Navdeep Jaitly, David A Clark, Matthew E Monroe, Elena S Peterson, Nikola Tolić, Gordon A Anderson, Richard D Smith.   

Abstract

Advanced proteomic research efforts involving areas such as systems biology or biomarker discovery are enabled by the use of high level informatics tools that allow the effective analysis of large quantities of differing types of data originating from various studies. Performing such analyses on a large scale is not feasible without a computational platform that performs data processing and management tasks. Such a platform must be able to provide high-throughput operation while having sufficient flexibility to accommodate evolving data analysis tools and methodologies. The Proteomics Research Information Storage and Management system (PRISM) provides a platform that serves the needs of the accurate mass and time tag approach developed at Pacific Northwest National Laboratory. PRISM incorporates a diverse set of analysis tools and allows a wide range of operations to be incorporated by using a state machine that is accessible to independent, distributed computational nodes. The system has scaled well as data volume has increased over several years, while allowing adaptability for incorporating new and improved data analysis tools for more effective proteomics research.

Mesh:

Substances:

Year:  2006        PMID: 16470653     DOI: 10.1002/pmic.200500500

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  45 in total

1.  Proteomic analysis of bronchoalveolar lavage fluid proteins from mice infected with Francisella tularensis ssp. novicida.

Authors:  Susan M Varnum; Bobbie-Jo M Webb-Robertson; Joel G Pounds; Ronald J Moore; Richard D Smith; Charles W Frevert; Shawn J Skerrett; David Wunschel
Journal:  J Proteome Res       Date:  2012-06-22       Impact factor: 4.466

2.  Application of survival analysis methodology to the quantitative analysis of LC-MS proteomics data.

Authors:  Carmen D Tekwe; Raymond J Carroll; Alan R Dabney
Journal:  Bioinformatics       Date:  2012-05-24       Impact factor: 6.937

3.  Synthetic peptide arrays for pathway-level protein monitoring by liquid chromatography-tandem mass spectrometry.

Authors:  Johannes A Hewel; Jian Liu; Kento Onishi; Vincent Fong; Shamanta Chandran; Jonathan B Olsen; Oxana Pogoutse; Mike Schutkowski; Holger Wenschuh; Dirk F H Winkler; Larry Eckler; Peter W Zandstra; Andrew Emili
Journal:  Mol Cell Proteomics       Date:  2010-05-13       Impact factor: 5.911

4.  Proteomic profiling of a layered tissue reveals unique glycolytic specializations of photoreceptor cells.

Authors:  Boris Reidel; J Will Thompson; Sina Farsiu; M Arthur Moseley; Nikolai P Skiba; Vadim Y Arshavsky
Journal:  Mol Cell Proteomics       Date:  2010-12-20       Impact factor: 5.911

Review 5.  Advances in proteomics data analysis and display using an accurate mass and time tag approach.

Authors:  Jennifer S D Zimmer; Matthew E Monroe; Wei-Jun Qian; Richard D Smith
Journal:  Mass Spectrom Rev       Date:  2006 May-Jun       Impact factor: 10.946

6.  Targeted tandem mass spectrometry for high-throughput comparative proteomics employing NanoLC-FTICR MS with external ion dissociation.

Authors:  Hyuk Kang; Ljiljana Pasa-Tolić; Richard D Smith
Journal:  J Am Soc Mass Spectrom       Date:  2007-05-03       Impact factor: 3.109

7.  A statistical framework for protein quantitation in bottom-up MS-based proteomics.

Authors:  Yuliya Karpievitch; Jeff Stanley; Thomas Taverner; Jianhua Huang; Joshua N Adkins; Charles Ansong; Fred Heffron; Thomas O Metz; Wei-Jun Qian; Hyunjin Yoon; Richard D Smith; Alan R Dabney
Journal:  Bioinformatics       Date:  2009-06-17       Impact factor: 6.937

8.  A computational strategy to analyze label-free temporal bottom-up proteomics data.

Authors:  Xiuxia Du; Stephen J Callister; Nathan P Manes; Joshua N Adkins; Roxana A Alexandridis; Xiaohua Zeng; Jung Hyeob Roh; William E Smith; Timothy J Donohue; Samuel Kaplan; Richard D Smith; Mary S Lipton
Journal:  J Proteome Res       Date:  2008-04-29       Impact factor: 4.466

9.  Comparative proteomics of human monkeypox and vaccinia intracellular mature and extracellular enveloped virions.

Authors:  Nathan P Manes; Ryan D Estep; Heather M Mottaz; Ronald J Moore; Therese R W Clauss; Matthew E Monroe; Xiuxia Du; Joshua N Adkins; Scott W Wong; Richard D Smith
Journal:  J Proteome Res       Date:  2008-01-19       Impact factor: 4.466

10.  Temporal proteome and lipidome profiles reveal hepatitis C virus-associated reprogramming of hepatocellular metabolism and bioenergetics.

Authors:  Deborah L Diamond; Andrew J Syder; Jon M Jacobs; Christina M Sorensen; Kathie-Anne Walters; Sean C Proll; Jason E McDermott; Marina A Gritsenko; Qibin Zhang; Rui Zhao; Thomas O Metz; David G Camp; Katrina M Waters; Richard D Smith; Charles M Rice; Michael G Katze
Journal:  PLoS Pathog       Date:  2010-01-08       Impact factor: 6.823

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.