Author

Melissa Miao

Max Planck Institute of Biochemistry

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 1 Assay:proteomics· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Bryan Crampton· 1 shared Dejan ŠtepeciD· 1 shared Juan RestrepoiD· 1 shared Jüergen CoxiD· 1 shared Jure ŽbontariD· 1 shared Maximilien BurqiD· 1 shared Peter CimermančičiD· 1 shared Rehan Chinoy· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Bryan Crampton

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Back to Basics: Spectrum and Peptide Sequence are Sufficient for Top-tier Mass Spectrometry Proteomics Identification

Maximilien Burq, Dejan Štepec, Juan Restrepo, Jure Žbontar, Shamil Z. Urazbakhtin, Bryan Crampton, Shivani Tiwary, Rehan Chinoy, Melissa Miao, Jüergen Cox, Peter Cimermančič

This paper introduces a deep learning-based approach for peptide identification in mass spectrometry proteomics that outperforms existing tools by using spectra and peptide sequences directly.

bioRxiv · Aug 19, 2024 · PreprintBioinformatics