Computational Proteomics

04 - 09 Jul 2021Add To Calendar
Dagstuhl, Wadern, Germany
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The field of proteomics continues to evolve at a rapid pace, and as it does so, it becomes more and more of a data science. The importance of these proteomics informatics solutions is now such, that without these computational tools, the field would no longer be able to function. As a result, the field of proteomics often finds itself limited by available algorithms and computational solutions, rather than by available instruments or samples. Based on recent developments in the field, we have .. continue reading identified four highly interesting computational challenges (and thus opportunities) that have come to the foreground in proteomics: (i) algorithms for the interpretation of proteomics analyses of protein structure; (ii) computational support for the newly emerging field of single-cell proteomics analyses; (iii) the identification and localization of protein glycosylation using mass spectrometry; and (iv) the quickly emerging application of Machine Learning applications throughout the field of proteomics. While the first three challenges are clearly matched to a specific application domain of proteomics (protein structure elucidation, single-cell analysis, and glycoprotein characterization), the fourth challenge, the application of Machine Learning algorithms, presents a broadly cross-cutting development in the field, which has already started to supply innovative solutions to long-standing problems in various areas of proteomics. The primary goal of this interdisciplinary Dagstuhl Seminar, which brings together a mix of experts from different but relevant backgrounds around these four topics, is to exchange ideas that can lead to novel algorithms and tools, and that can create novel collaborations between various participants.


09:00 AM-06:00 PM (expected)
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Oktavie-Allee, 66687 Wadern, Germany

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