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Visual Exploration of GCxGC-MS Data
04 Feb 2010 | Tools | Contributor(s): Avin Pattath, David S. Ebert, Ann Christine Catlin
Interactive visual analysis and exploration of GCxGC-MS data to identify potential biomarkes for disease susceptibility, treatment response and utlimate treatment outcome
http://ccehub.org/resources/omicexplorer
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LECO GC-TOF Instrument Setup: Metabolomics for Cancer Care Engineering
13 Feb 2009 | Notes | Contributor(s): Daniel Raftery
This document describes the setup for the LECO GC-TOF mass spectrometry instrument in preparation for metabolomics GCxGC-MS analysis of serum samples processed from patient whole blood at the IUSCC …
http://ccehub.org/resources/205
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Sample Preparation : Metabolomics Analysis for Cancer Care Engineering
13 Feb 2009 | Notes | Contributor(s): Daniel Raftery, Ann Christine Catlin
This document describes the preparation of serum samples in the Raftery Laboratory for metabolomics GCxCG-MS analysis using the LECO GC-TOF mass spectrometer.Serum samples are processed from patient …
http://ccehub.org/resources/203
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Raftery Metabolomics Analysis Laboratory
07 Feb 2009 | Series | Contributor(s): Daniel Raftery, Lingyan Liu
The Raftery Group is led by Professor M. Daniel Raftery of Purdue University's Department of Chemistry. Their research focuses on the development and application of advanced methods in metabolomics …
http://ccehub.org/resources/197
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GCxGC-MS Data Classification and Alignment
11 Jun 2008 | Tools | Contributor(s): Dabao Zhang, Min Zhang, Jason Catlin
Align and classify GCxGC-MS data
http://ccehub.org/resources/GC2MSClass
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Biological Data Analysis Laboratories
13 Oct 2008 | Series
The Biological Data Analysis Laboratories at IUSCC and Purdue University Processed samples will undergo lipidomic, oxidative stress, and SNP analysis at the IU Simon Cancer Center and global …
http://ccehub.org/resources/103
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Metabolomics-Based Methods for Biomarker Discovery of Disease
06 Oct 2008 | Downloads | Contributor(s): Daniel Raftery
The presentation gives an overview of metabolomics and Cancer Care Engineering. The combination of NMR and multivariate statistical analysis is providing a new way to analyze complex samples such …
http://ccehub.org/resources/96