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v2.0.0

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@github-actions github-actions released this 31 Oct 15:16
· 45 commits to main since this release

What's Changed

This version now enabled using the new rust search backend.
It is superior in speed and performance, and recommended for Thermo and Sciex data (cf. the proteobench results for the performance-equivalent version v1.12.1).

However, some features are not yet available:

  • transfer learning
  • multiplexing
  • processing Bruker files

It also comes with a series of breaking changes, both in the input (config) and in the output (column names).

New features

Breaking Changes

  • The default output file format is now “parquet” instead of “tsv”
  • Many output column names have been changed (see here)

[relevant for expert users only] The following config parameters have been renamed:

  • fdr.competetive_scoring -> fdr.competitive_scoring
  • search_initial.initial_num_candidates -> search_initial.num_candidate
  • search_initial.initial_ms1_tolerance -> search_initial.ms1_tolerance
  • search_initial.initial_ms2_tolerance -> search_initial.ms2_tolerance
  • search_initial.initial_mobility_tolerance -> search_initial.mobility_tolerance
  • search_initial.initial_rt_tolerance -> search_initial.rt_tolerance

[relevant for expert users only]In addition, some internal algorithmic parameters have been changed:
fdr.enable_nn_hyperparameter_tuning is now true by default
search_output.peptide_level_lfq and search_output.precursor_level_lfq are now true by default

Other Changes / unlabeled

unit/integration tests ran here: https://github.com/MannLabs/alphadia/actions/runs/18969706236
E2E tests ran here: https://github.com/MannLabs/alphadia/actions/runs/18970580325/job/54177201160

The linux installer was broken and has been removed, is fixed in this (functionally equivalent) release: https://github.com/MannLabs/alphadia/releases/tag/v2.0.1

Full Changelog: v1.12.2...v2.0.0