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Author, Editor

Author(s):

Schneider, Till
Hauschild, Anne-Christin
Baumbach, Joerg Ingo
Baumbach, Jan

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Not MPG Author(s):

Schneider, Till
Baumbach, Joerg Ingo

BibTeX cite key*:

Hauschild2013d

Title

Title*:

An Integrative Clinical Database and Diagnostics Platform for Biomarker Identification and Analysis in Ion Mobility Spectra of Human Exhaled Air

Journal

Journal Title*:

Journal of Integrative Bioinformatics

Journal's URL:

http://journal.imbio.de/

Download URL
for the article:

http://journal.imbio.de/articles/pdf/jib-218.pdf

Language:

English

Publisher

Publisher's
Name:


Publisher's URL:


Publisher's
Address:


ISSN:


Vol, No, Year, pp.

Volume:

10

Number:

2

Month:

April

Year*:

2013

Pages:


Number of VG Pages:


Sequence Number:


DOI:

10.2390/biecoll-jib-2013-218.

Abstract, Links, (C)

Note:


(LaTeX) Abstract:

Over the last decade the evaluation of odors and vapors in human breath has gained more and more attention, particularly in the diagnostics of pulmonary diseases.
Ion mobility spectrometry coupled with multi-capillary columns (MCC/IMS), is a well known technology for detecting volatile organic compounds (VOCs) in air.
It is a comparatively inexpensive, non-invasive, high-throughput method, which is able to handle the moisture that comes with human exhaled air, and allows for characterizing of VOCs in very low concentrations.
To identify discriminating compounds as biomarkers, it is necessary to have a clear understanding of the detailed composition of human breath.
Therefore, in addition to the clinical studies, there is a need for a flexible and comprehensive centralized data repository, which is capable of gathering all kinds of related information.
Moreover, there is a demand for automated data integration and semi-automated data analysis, in particular with regard to the rapid data accumulation, emerging from the high-throughput nature of the MCC/IMS technology.
Here, we present a comprehensive database application and analysis platform, which combines metabolic maps with heterogeneous biomedical data in a well-structured manner.
The design of the database is based on a hybrid of the entity-attribute-value (EAV) model and the EAV-CR, which incorporates the concepts of classes and relationships.
Additionally it offers an intuitive user interface that provides easy and quick access to the platform's functionality: automated data integration and integrity validation, versioning and roll-back strategy, data retrieval as well as semi-automatic data mining and machine learning capabilities.
The platform will support MCC/IMS-based biomarker identification and validation.
The software, schemata, data sets and further information is publicly available at \url{http://imsdb.mpi-inf.mpg.de}.

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Access Level:

Internal

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Computational Biology and Applied Algorithmics

Audience:

experts only

Appearance:

MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort



BibTeX Entry:

@MISC{Hauschild2013d,
AUTHOR = {Schneider, Till and Hauschild, Anne-Christin and Baumbach, Joerg Ingo and Baumbach, Jan},
TITLE = {An Integrative Clinical Database and Diagnostics Platform for Biomarker Identification and Analysis in Ion Mobility Spectra of Human Exhaled Air},
JOURNAL = {Journal of Integrative Bioinformatics},
YEAR = {2013},
NUMBER = {2},
VOLUME = {10},
MONTH = {April},
DOI = {10.2390/biecoll-jib-2013-218.},
}


Entry last modified by Anne-Christin Hauschild, 02/25/2014
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Created
01/20/2014 04:54:44 PM
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Editor
Anne-Christin Hauschild



Edit Date
01/20/2014 04:54:44 PM