License: 
Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.7.10.69
URN: urn:nbn:de:0030-drops-86639
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/8663/
Küster, Bernhard ;
Lilley, Kathryn ;
Martens, Lennart
Weitere Beteiligte (Hrsg. etc.): Bernhard Küster and Kathryn Lilley and Lennart Martens
Computational Proteomics (Dagstuhl Seminar 17421)
Abstract
The Dagstuhl Seminar 17421 "Computational Proteomics" discussed in-depth the current challenges facing the field of computational proteomics, while at the same time reaching out across the field's borders to engage with other computational omics fields at the joint interfaces. The ramifications of these issues, and possible solutions, were first introduced in short but thought-provoking talks, followed by a plenary discussion to delineate the initial discussion sub-topics. Afterwards, working groups addressed these initial considerations in great detail.
BibTeX - Entry
@Article{kster_et_al:DR:2018:8663,
author = {Bernhard K{\"u}ster and Kathryn Lilley and Lennart Martens},
title = {{Computational Proteomics (Dagstuhl Seminar 17421)}},
pages = {69--83},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2018},
volume = {7},
number = {10},
editor = {Bernhard K{\"u}ster and Kathryn Lilley and Lennart Martens},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2018/8663},
URN = {urn:nbn:de:0030-drops-86639},
doi = {10.4230/DagRep.7.10.69},
annote = {Keywords: computational biology, computational mass spectrometry, integrative bioinformatics, large scale public data, proteomics}
}
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Keywords: |
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computational biology, computational mass spectrometry, integrative bioinformatics, large scale public data, proteomics |
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Collection: |
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Dagstuhl Reports, Volume 7, Issue 10 |
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Issue Date: |
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2018 |
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Date of publication: |
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27.03.2018 |
