Author

Shivani Tiwary

Pfizer (Germany)ORCID 0000-0002-5860-1306Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Research Focus:protein structure prediction· 1 Research Focus:software / tool· 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 Liang XueiD· 1 shared Maximilien BurqiD· 1 shared Melissa Miao· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Bryan Crampton

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2 papers

Recent·Most cited

CoSpred: Machine learning workflow to predict tandem mass spectrum in proteomics

Liang Xue, Shivani Tiwary, Mykola Bordyuh, Pierre M. Jean Beltran, Robert V. Stanton

CoSpred is a machine learning workflow that predicts complete tandem mass spectra from peptide sequences, improving spectral library matching by including non-backbone ions.

PROTEOMICS · Jun 30, 2025Peer-reviewedBioinformatics

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