License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.05471.2
URN: urn:nbn:de:0030-drops-5406
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2006/540/
Go to the corresponding Portal |
Huber, Christian G. ;
Kohlbacher, Oliver ;
Reinert, Knut
05471 Executive Summary -- Computational Proteomics
Abstract
The Dagstuhl Seminar on Computational Proteomics brought together researchers from computer science and from proteomics to discuss the state of the art and future developments at the interface between experiment and theory. This interdisciplinary exchange covered a wide range of topics, from new experimental methods resulting in more complex data we will have to expect in the future to purely theoretical studies of what level of experimental accuracy is required in order to solve certain problems. A particular focus was also on the application side, where the participants discussed more complex experimental methodologies that are enabled by more sophisticated computational techniques. Quantitative aspects of protein expression analysis as well as posttranslational modifications in the context of disease development and diagnosis were discussed. The seminar sparked a number of new ideas and collaborations and resulted in joint grant applications and publications.
BibTeX - Entry
@InProceedings{huber_et_al:DagSemProc.05471.2,
author = {Huber, Christian G. and Kohlbacher, Oliver and Reinert, Knut},
title = {{05471 Executive Summary – Computational Proteomics}},
booktitle = {Computational Proteomics},
series = {Dagstuhl Seminar Proceedings (DagSemProc)},
ISSN = {1862-4405},
year = {2006},
volume = {5471},
editor = {Christian G. Huber and Oliver Kohlbacher and Knut Reinert},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2006/540},
URN = {urn:nbn:de:0030-drops-5406},
doi = {10.4230/DagSemProc.05471.2},
annote = {Keywords: Proteomics, mass spectrometry, MALDI, HPLC-MS, differential expression, clinical proteomics, quantitation, identification}
}
Keywords: |
|
Proteomics, mass spectrometry, MALDI, HPLC-MS, differential expression, clinical proteomics, quantitation, identification |
Collection: |
|
05471 - Computational Proteomics |
Issue Date: |
|
2006 |
Date of publication: |
|
03.05.2006 |