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Markus Mueller

Researcher at ETH Zurich

Publications -  22
Citations -  1920

Markus Mueller is an academic researcher from ETH Zurich. The author has contributed to research in topics: Automatic target recognition & Argonaute. The author has an hindex of 10, co-authored 22 publications receiving 1666 citations. Previous affiliations of Markus Mueller include Swiss Institute of Bioinformatics & École Polytechnique Fédérale de Lausanne.

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Journal ArticleDOI

Reproducible isolation of distinct, overlapping segments of the phosphoproteome

TL;DR: The results suggest that the three methods detect different, partially overlapping segments of the phosphoproteome and that, at present, no single method is sufficient for a comprehensive phosphopeptides analysis.
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Identification of cross-linked peptides from large sequence databases

TL;DR: It is shown that xQuest can identify cross-linked peptides from a total Escherichia coli lysate with an unrestricted database search and reduces the search space by an upstream candidate-peptide search before the recombination step.
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Key Parameters of Tumor Epitope Immunogenicity Revealed Through a Consortium Approach Improve Neoantigen Prediction

Daniel K. Wells, +149 more
- 29 Oct 2020 - 
TL;DR: A model of tumor epitope immunogenicity was developed that filtered out 98% of non-immunogenic peptides with a precision above 0.70 and was validated in an independent cohort of 310 epitopes prioritized from tumor sequencing data and assessed for T cell binding.
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Corrigendum: Identification of cross-linked peptides from large sequence databases

TL;DR: In the version of this Brief Communication initially published, an author name (Lukas Mueller) was incorrect and the correct author name is Lukas N. Mueller.
Journal ArticleDOI

An Integrated, Directed Mass Spectrometric Approach for In-depth Characterization of Complex Peptide Mixtures

TL;DR: A directed LC-MS/MS approach that alleviates the limitations of DDA precursor ion selection by decoupling peak detection and sequencing of selected precursor ions is presented.