Published July 16, 2024 | Version v1

Data for Theoretical assessment of indistinguishable peptides in mass spectrometry-based proteomics

  • 1. ROR icon Centre for Genomic Regulation
  • 2. ROR icon Universitat Pompeu Fabra
  • 3. Technical University of Munich

Description

This dataset provides comprehensive spectral libraries for the theoretical assessment of indistinguishable peptides in mass spectrometry-based proteomics. The data were generated through various experimental conditions. Each file contains the peptide fragmentation patterns and retention times predicted with Prosit at different normalized collision energies (NCE) and charge states.

Files

README.txt

Files (43.5 GB)

Name Size
md5:3bb0813c2a670aa19220bcfb6f0fc66e
14.7 GB Download
md5:c99e9dce481b3303eada65d494af6b86
6.0 GB Download
md5:5e87f97438e76b08622dc9e69f37b204
1.6 kB Preview Download
md5:841c29b7fa4d3b7095b48545fb63517f
2.8 GB Download
md5:6cb1d3e02b115bb9971437e51fedc58c
2.8 GB Download
md5:803686a9b4ff721e3597ee51fce06997
5.4 GB Download
md5:4ca5f4c3fdc2bf48730cc7ff4c461932
2.8 GB Download
md5:9f3ec0cd5f768d3251ee784bc3048c9b
3.5 GB Download
md5:0b63e83821df5b0666ec99bd8649d7b8
2.8 GB Download
md5:1572ea5340904733923be9a6e3c14d33
2.8 GB Download