MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics

Marc Isaksson; Christofer Karlsson; Thomas Laurell; Agnete Kirkeby; Moritz Heusel

doi:10.1021/acs.jproteome.1c00796

MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics

Marc Isaksson, Christofer Karlsson, Thomas Laurell, Agnete Kirkeby, Moritz Heusel

Research output: Contribution to journal › Journal article › peer-review

9 Citations (Scopus)

20 Downloads (Pure)

Original language	English
Journal	Journal of Proteome Research
Volume	21
Issue number	2
Pages (from-to)	535–546
Number of pages	12
ISSN	1535-3893
DOIs	https://doi.org/10.1021/acs.jproteome.1c00796
Publication status	Published - 2022

Keywords

data-independent acquisition
spectral predictions
proteomics
deep-learning
R-software

Access to Document

10.1021/acs.jproteome.1c00796Licence: CC BY

FulltextFinal published version, 3.43 MBLicence: CC BY

Cite this

@article{0102c724eb654c1d97d6f711e4f363e2,

title = "MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics",

keywords = "data-independent acquisition, spectral predictions, proteomics, deep-learning, R-software",

author = "Marc Isaksson and Christofer Karlsson and Thomas Laurell and Agnete Kirkeby and Moritz Heusel",

year = "2022",

doi = "10.1021/acs.jproteome.1c00796",

language = "English",

volume = "21",

pages = "535–546",

journal = "Journal of Proteome Research",

issn = "1535-3893",

publisher = "American Chemical Society",

number = "2",

}

TY - JOUR

T1 - MSLibrarian

T2 - Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics

AU - Isaksson, Marc

AU - Karlsson, Christofer

AU - Laurell, Thomas

AU - Kirkeby, Agnete

AU - Heusel, Moritz

PY - 2022

Y1 - 2022

KW - data-independent acquisition

KW - spectral predictions

KW - proteomics

KW - deep-learning

KW - R-software

U2 - 10.1021/acs.jproteome.1c00796

DO - 10.1021/acs.jproteome.1c00796

M3 - Journal article

C2 - 35042333

VL - 21

SP - 535

EP - 546

JO - Journal of Proteome Research

JF - Journal of Proteome Research

SN - 1535-3893

IS - 2

ER -