Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning-Reference-Cited by-同舟云学术

Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning

Published:2019-05-27 Issue:6 Volume:16 Page:509-518
ISSN:1548-7091
Container-title:Nature Methods
language:en
Short-container-title:Nat Methods

Author:

Gessulat Siegfried^ORCID,Schmidt Tobias,Zolg Daniel Paul,Samaras Patroklos^ORCID,Schnatbaum Karsten,Zerweck Johannes,Knaute Tobias,Rechenberger Julia,Delanghe Bernard,Huhmer Andreas,Reimer Ulf,Ehrlich Hans-Christian,Aiche Stephan^ORCID,Kuster Bernhard^ORCID,Wilhelm Mathias^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Molecular Biology,Biochemistry,Biotechnology

Link

http://www.nature.com/articles/s41592-019-0426-7.pdf

Reference51 articles.

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3. Mallick, P. & Kuster, B. Proteomics: a pragmatic perspective. Nat. Biotechnol. 28, 695 (2010).

4. Sinitcyn, P., Rudolph, J. D. & Cox, J. Computational methods for understanding mass spectrometry-based shotgun proteomics data. Annu. Rev. Biomed. Data Sci. 1, 207–234 (2018).

5. Cox, J. et al. Andromeda: a peptide search engine integrated into the maxquant environment. J. Proteome Res. 10, 1794–1805 (2011).

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