Advanced search
2 files | 679.64 KB Add to list

Accurate peptide fragmentation predictions allow data driven approaches to replace and improve upon proteomics search engine scoring functions

Author
Organization

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 282.44 KB
  • (...).pdf
    • supplementary material
    • |
    • UGent only
    • |
    • PDF
    • |
    • 397.20 KB

Citation

Please use this url to cite or link to this publication:

MLA
Ferreira Diamantino Coelho e Silva, Ana Sílvia, et al. “Accurate Peptide Fragmentation Predictions Allow Data Driven Approaches to Replace and Improve upon Proteomics Search Engine Scoring Functions.” BIOINFORMATICS, 2020.
APA
Ferreira Diamantino Coelho e Silva, A. S., Bouwmeester, R., Martens, L., & Degroeve, S. (2020). Accurate peptide fragmentation predictions allow data driven approaches to replace and improve upon proteomics search engine scoring functions. BIOINFORMATICS.
Chicago author-date
Ferreira Diamantino Coelho e Silva, Ana Sílvia, Robbin Bouwmeester, Lennart Martens, and Sven Degroeve. 2020. “Accurate Peptide Fragmentation Predictions Allow Data Driven Approaches to Replace and Improve upon Proteomics Search Engine Scoring Functions.” BIOINFORMATICS.
Chicago author-date (all authors)
Ferreira Diamantino Coelho e Silva, Ana Sílvia, Robbin Bouwmeester, Lennart Martens, and Sven Degroeve. 2020. “Accurate Peptide Fragmentation Predictions Allow Data Driven Approaches to Replace and Improve upon Proteomics Search Engine Scoring Functions.” BIOINFORMATICS.
Vancouver
1.
Ferreira Diamantino Coelho e Silva AS, Bouwmeester R, Martens L, Degroeve S. Accurate peptide fragmentation predictions allow data driven approaches to replace and improve upon proteomics search engine scoring functions. BIOINFORMATICS. 2020;
IEEE
[1]
A. S. Ferreira Diamantino Coelho e Silva, R. Bouwmeester, L. Martens, and S. Degroeve, “Accurate peptide fragmentation predictions allow data driven approaches to replace and improve upon proteomics search engine scoring functions,” BIOINFORMATICS, 2020.
@article{8620729,
  author       = {Ferreira Diamantino Coelho e Silva, Ana Sílvia and Bouwmeester, Robbin and Martens, Lennart and Degroeve, Sven},
  issn         = {1367-4803},
  journal      = {BIOINFORMATICS},
  language     = {eng},
  title        = {Accurate peptide fragmentation predictions allow data driven approaches to replace and improve upon proteomics search engine scoring functions},
  url          = {http://dx.doi.org/10.1093/bioinformatics/btz383},
  year         = {2020},
}

Altmetric
View in Altmetric