Works matching IS 16159853 AND DT 2024 AND VI 24 AND IP 8

Results: 13

Standard abbreviations.

Published in:: Proteomics, 2024, v. 24, n. 8, p. 1, doi. 10.1002/pmic.202470054
Publication type:: Article

Contents: Proteomics 8'24.

Published in:: Proteomics, 2024, v. 24, n. 8, p. 1, doi. 10.1002/pmic.202470053
Publication type:: Article

Editorial Board: Proteomics 8'24.

Published in:: Proteomics, 2024, v. 24, n. 8, p. 1, doi. 10.1002/pmic.202470052
Publication type:: Article

Front Cover.

Published in:: Proteomics, 2024, v. 24, n. 8, p. 1, doi. 10.1002/pmic.202470051
Publication type:: Article

Spectral averaging with outlier rejection algorithms to increase identifications in top‐down proteomics.

Published in:

Proteomics, 2024, v. 24, n. 8, p. 1, doi. 10.1002/pmic.202300234

By:

Carr, Austin V.;
Bollis, Nicholas E.;
Pavek, John G.;
Shortreed, Michael R.;
Smith, Lloyd M.

Publication type:

Article

Target‐decoy false discovery rate estimation using Crema.

Published in:

Proteomics, 2024, v. 24, n. 8, p. 1, doi. 10.1002/pmic.202300084

By:

Lin, Andy;
See, Donavan;
Fondrie, William E.;
Keich, Uri;
Noble, William Stafford

Publication type:

Article

From data to discovery: The essential role of computational tools in proteomics.

Published in:

Proteomics, 2024, v. 24, n. 8, p. 1, doi. 10.1002/pmic.202300081

By:

Bittremieux, Wout

Publication type:

Article

Intensity and retention time prediction improves the rescoring of protein‐nucleic acid cross‐links.

Published in:

Proteomics, 2024, v. 24, n. 8, p. 1, doi. 10.1002/pmic.202300144

By:

Siraj, Arslan;
Bouwmeester, Robbin;
Declercq, Arthur;
Welp, Luisa;
Chernev, Aleksandar;
Wulf, Alexander;
Urlaub, Henning;
Martens, Lennart;
Degroeve, Sven;
Kohlbacher, Oliver;
Sachsenberg, Timo

Publication type:

Article

Computational approaches to identify sites of phosphorylation.

Published in:

Proteomics, 2024, v. 24, n. 8, p. 1, doi. 10.1002/pmic.202300088

By:

Joyce, Alex W.;
Searle, Brian C.

Publication type:

Article

A compositional data model to predict the isotope distribution for average peptides using a compositional spline model.

Published in:

Proteomics, 2024, v. 24, n. 8, p. 1, doi. 10.1002/pmic.202300154

By:

Agten, Annelies;
Vilenne, Frédérique;
Prostko, Piotr;
Valkenborg, Dirk

Publication type:

Article

Machine learning‐based peptide‐spectrum match rescoring opens up the immunopeptidome.

Published in:

Proteomics, 2024, v. 24, n. 8, p. 1, doi. 10.1002/pmic.202300336

By:

Adams, Charlotte;
Laukens, Kris;
Bittremieux, Wout;
Boonen, Kurt

Publication type:

Article

Oktoberfest: Open‐source spectral library generation and rescoring pipeline based on Prosit.

Published in:

Proteomics, 2024, v. 24, n. 8, p. 1, doi. 10.1002/pmic.202300112

By:

Picciani, Mario;
Gabriel, Wassim;
Giurcoiu, Victor‐George;
Shouman, Omar;
Hamood, Firas;
Lautenbacher, Ludwig;
Jensen, Cecilia Bang;
Müller, Julian;
Kalhor, Mostafa;
Soleymaniniya, Armin;
Kuster, Bernhard;
The, Matthew;
Wilhelm, Mathias

Publication type:

Article

HowDirty: An R package to evaluate molecular contaminants in LC‐MS experiments.

Published in:

Proteomics, 2024, v. 24, n. 8, p. 1, doi. 10.1002/pmic.202300134

By:

Gomez‐Zepeda, David;
Michna, Thomas;
Ziesmann, Tanja;
Distler, Ute;
Tenzer, Stefan

Publication type:

Article