2010
DOI: 10.1021/ac100034u
|View full text |Cite
|
Sign up to set email alerts
|

Metabolite Differentiation and Discovery Lab (MeDDL): A New Tool for Biomarker Discovery and Mass Spectral Visualization

Abstract: The goal of this work was to design and implement a prototype software tool for the visualization and analysis of small molecule metabolite GC-MS and LC-MS data for biomarker discovery. The key features of the Metabolite Differentiation and Discovery Lab (MeDDL) software platform include support for the manipulation of large data sets, tools to provide a multifaceted view of the individual experimental results, and a software architecture amenable to modification and addition of new algorithms and software com… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
18
0

Year Published

2010
2010
2019
2019

Publication Types

Select...
8

Relationship

3
5

Authors

Journals

citations
Cited by 22 publications
(18 citation statements)
references
References 20 publications
0
18
0
Order By: Relevance
“…The raw GC-MS data files were converted to "computable document format (CDF)" files that were subsequently imported to the Metabolite Differentiation and Discovery Lab (MeDDL), 27 a metabolite profiling software solution adapted for GC-MS data where the values of the peak heights for the base ions of the chloroprene dimers and other compounds were obtained after registration and alignment of the peaks detected in the GC-MS data. A detailed description is available elsewhere.…”
Section: Discussionmentioning
confidence: 99%
“…The raw GC-MS data files were converted to "computable document format (CDF)" files that were subsequently imported to the Metabolite Differentiation and Discovery Lab (MeDDL), 27 a metabolite profiling software solution adapted for GC-MS data where the values of the peak heights for the base ions of the chloroprene dimers and other compounds were obtained after registration and alignment of the peaks detected in the GC-MS data. A detailed description is available elsewhere.…”
Section: Discussionmentioning
confidence: 99%
“…2,4-5 Analysis of GC-MS data for differential metabolite profiling [6][7] and other techniques have facilitated biomarker discovery of volatiles in exhaled breath. These substances include gases such as nitric oxide, oxygen, and carbon monoxide, as well as a multitude of volatile organic compounds (VOCs).…”
Section: Breath-based Biomarkers For Use In Human Health and Performamentioning
confidence: 99%
“…In this work, we demonstrate the value of visualizing all mass spectral intensity data as they relate to one another in chromatographic space with essentially no preprocessing of the data. Spectral profile visualization has been examined in the intensity dimension in other pieces of software [15], but to date has apparently been done only for single replicates. Our approach differs in that we evaluate a number of spectra simultaneously.…”
Section: Introductionmentioning
confidence: 99%