New Results
De novo mass spectrometry peptide sequencing with a transformer model
Melih Yilmaz, William E. Fondrie, Wout Bittremieux, Sewoong Oh, View ORCID ProfileWilliam Stafford Noble
doi: https://doi.org/10.1101/2022.02.07.479481
Melih Yilmaz
1Paul G. Allen School of Computer Science and Engineering, University of Washington
William E. Fondrie
2Talus Bioscience
Wout Bittremieux
3Skaggs School of Pharmacy and Pharmaceutical Science, University of California San Diego
Sewoong Oh
1Paul G. Allen School of Computer Science and Engineering, University of Washington
William Stafford Noble
4Department of Genome Sciences, University of Washington
1Paul G. Allen School of Computer Science and Engineering, University of Washington
Article usage
Posted February 09, 2022.
De novo mass spectrometry peptide sequencing with a transformer model
Melih Yilmaz, William E. Fondrie, Wout Bittremieux, Sewoong Oh, William Stafford Noble
bioRxiv 2022.02.07.479481; doi: https://doi.org/10.1101/2022.02.07.479481
Subject Area
Subject Areas
- Biochemistry (12775)
- Bioengineering (9659)
- Bioinformatics (31215)
- Biophysics (16081)
- Cancer Biology (13158)
- Cell Biology (18817)
- Clinical Trials (138)
- Developmental Biology (10193)
- Ecology (15168)
- Epidemiology (2067)
- Evolutionary Biology (19381)
- Genetics (12869)
- Genomics (17759)
- Immunology (12890)
- Microbiology (30163)
- Molecular Biology (12588)
- Neuroscience (65824)
- Paleontology (486)
- Pathology (2035)
- Pharmacology and Toxicology (3512)
- Physiology (5440)
- Plant Biology (11275)
- Synthetic Biology (3113)
- Systems Biology (7760)
- Zoology (1756)