User profiles for E. Voytik
Eugenia VoytikPhD Student in Computational Biology, Mann's Lab, MPIB Verified email at biochem.mpg.de Cited by 961 |
diaPASEF: parallel accumulation–serial fragmentation combined with data-independent acquisition
… e, Estimated copy numbers of proteins contained in the assay library and detected with
diaPASEF in triplicate single runs. f, Cumulative number of missing protein quantification data …
diaPASEF in triplicate single runs. f, Cumulative number of missing protein quantification data …
[HTML][HTML] AlphaPeptDeep: a modular deep learning framework to predict peptide properties for proteomics
… Here we used E. coli and yeast peptides from the same instrument in the same publication.
For these regular peptides the CCS model achieved an R 2 > 0.98 of the predicted and …
For these regular peptides the CCS model achieved an R 2 > 0.98 of the predicted and …
Plasma Proteome Profiling to detect and avoid sample‐related biases in biomarker studies
Plasma and serum are rich sources of information regarding an individual's health state,
and protein tests inform medical decision making. Despite major investments, few new …
and protein tests inform medical decision making. Despite major investments, few new …
[HTML][HTML] Deep learning the collisional cross sections of the peptide universe from a million experimental values
…, ND Köhler, AD Brunner, JMH Wanka, E Voytik… - Nature …, 2021 - nature.com
… e Distribution of 559,979 unique data points, including modified sequence and charge
state, in the CCS vs. m/z space color-coded by charge state. Density distributions for m/z and …
state, in the CCS vs. m/z space color-coded by charge state. Density distributions for m/z and …
A practical guide to interpreting and generating bottom‐up proteomics data visualizations
… Julia Patricia Schessner and Eugenia Voytik contributed equally to this work. … Julia Patricia
Schessner and Eugenia Voytik devised and wrote the manuscript. All authors contributed …
Schessner and Eugenia Voytik devised and wrote the manuscript. All authors contributed …
[HTML][HTML] AlphaPept: a modern and open framework for MS-based proteomics
… two-species benchmarking dataset, in which E. coli proteins change their abundance by a
… e Venn Diagram of all quantified proteins shows good agreement across all search engines…
… e Venn Diagram of all quantified proteins shows good agreement across all search engines…
[HTML][HTML] Rapid and in-depth coverage of the (phospho-) proteome with deep libraries and optimal window design for dia-PASEF
Data-independent acquisition (DIA) methods have become increasingly attractive in mass
spectrometry–based proteomics because they enable high data completeness and a wide …
spectrometry–based proteomics because they enable high data completeness and a wide …
Parallel accumulation–serial fragmentation combined with data-independent acquisition (diaPASEF): Bottom-up proteomics with near optimal ion usage
… e, Distribution of estimated copy numbers of proteins contained in the assay library and
detected with diaPASEF in triplicate single runs. f, Completeness of the protein quantification …
detected with diaPASEF in triplicate single runs. f, Completeness of the protein quantification …
[HTML][HTML] AlphaTims: Indexing trapped ion mobility spectrometry–TOF data for fast and easy accession and visualization
High-resolution MS-based proteomics generates large amounts of data, even in the standard
LC–tandem MS configuration. Adding an ion mobility dimension vastly increases the …
LC–tandem MS configuration. Adding an ion mobility dimension vastly increases the …
AlphaMap: an open-source Python package for the visual annotation of proteomics data with sequence-specific knowledge
… The authors wish it to be known that, in their opinion, the Eugenia Voytik and Isabell Bludau
… The authors wish it to be known that, in their opinion, the Eugenia Voytik and Isabell Bludau …
… The authors wish it to be known that, in their opinion, the Eugenia Voytik and Isabell Bludau …