prosit software on GitHub in support of 'Sensitive Immunopeptidomics by Leveraging Available Large-Scale Multi-HLA Spectral Libraries, Data-Independent Acquisition, and MS/MS Prediction'

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prosit software on GitHub

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14 Research products, page 1 of 2

The impact of noise and missing fragmentation cleavages on de novo peptide identification algorithms
2022IsRelatedTo
Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics
2021IsRelatedTo
From single- to multi-omics: future research trends in medicinal plants
2022IsRelatedTo
inSPIRE: An Open-Source Tool for Increased Mass Spectrometry Identification Rates Using Prosit Spectral Prediction
2022IsRelatedTo
Profiling mouse brown and white adipocytes to identify metabolically relevant small ORFs and functional microproteins
2023IsRelatedTo
MS²Rescore: Data-driven rescoring dramatically boosts immunopeptide identification rates
2021IsRelatedTo
Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning
2019IsRelatedTo
Sensitive Immunopeptidomics by Leveraging Available Large-Scale Multi-HLA Spectral Libraries, Data-Independent Acquisition, and MS/MS Prediction
2021IsRelatedTo
Widespread ribosome stalling in a genome-reduced bacterium and the need for translational quality control
2021IsRelatedTo
Removing the hidden data dependency of DIA with predicted spectral libraries
2019IsRelatedTo

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