Releases | Open Source Science

Added

✨ Support for Thermo raw (requiring dotnet runtime) and gzipped spectrum files, through mobiusklein/mzdata (#226, by @paretje)
✨ New Python API usage mode correlate-single to correlate to a single ObservedSpectrum object with predictions (#232)
✨ Added support for Python 3.12 and 3.13, Numpy v2, and newer Pandas and XGBoost versions (#228)
✅ CI: Add integration test for predict-single (#228)

Changed

⚠️ Ion mobility is now returned instead of collisional cross section when IM2Deep is used through the add_ion_mobility option (#236, by rodvrees)
🏗️ Model files are now downloaded from Zenodo instead of Genesis (#225, by paretje, fixes #229)
📝 Docs: Updated README to include correlate-single; moved webserver API docs from old Wiki (#239)

Removed

🐍 Removed support for Python 3.8 (EOL) and for musllinux distributions (#228, #237)
🗑️ Removed old conversion scripts, mostly implemented in psm_utils (#239)
🗑️ Removed old train script, to be replaced with page in docs (#239)

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Published by RalfG over 1 year ago

ms2pip - v4.0.0

Fully refactored and drastically more user-friendly version of MS²PIP:

More modular Python API
One consolidated command-line interface with subcommands
Support for all file formats readable by psm_utils
Support for MGF, mzML, and Bruker raw spectrum files
Support for ProForma 2.0 peptide notation (no modification configuration required anymore)
Support for multiple peptides/PSMs per spectrum
Detailed documentation on ms2pip.readthedocs.io
...

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Published by RalfG almost 2 years ago

ms2pip - v4.0.0-dev14

Full Changelog: https://github.com/compomics/ms2pip/compare/v4.0.0-dev13...v4.0.0-dev14

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Published by RalfG almost 2 years ago

ms2pip - v4.0.0-dev14

Full Changelog: https://github.com/compomics/ms2pip/compare/v4.0.0-dev13...v4.0.0-dev14

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Published by RalfG almost 2 years ago

ms2pip - v4.0.0-dev13

Full Changelog: https://github.com/compomics/ms2pip/compare/v4.0.0-dev12...v4.0.0-dev13

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Published by RalfG about 2 years ago

ms2pip - v4.0.0-dev12

Full Changelog: https://github.com/compomics/ms2pip/compare/v4.0.0-dev11...v4.0.0-dev12

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Published by RalfG about 2 years ago

ms2pip - v4.0.0-dev11

Full Changelog: https://github.com/compomics/ms2pip/compare/v4.0.0-dev10...v4.0.0-dev11

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Published by RalfG about 2 years ago

ms2pip - v4.0.0-dev10

Full Changelog: https://github.com/compomics/ms2pip/compare/v4.0.0-dev9...v4.0.0-dev10

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Published by RalfG about 2 years ago

ms2pip - v4.0.0-dev9

Full Changelog: https://github.com/compomics/ms2pip/compare/v4.0.0-dev8...v4.0.0-dev9

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Published by RalfG over 2 years ago

ms2pip - v4.0.0-dev8

Full Changelog: https://github.com/compomics/ms2pip/compare/v4.0.0-dev7...v4.0.0-dev8

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Published by RalfG over 2 years ago

ms2pip - v4.0.0-dev7

Full Changelog: https://github.com/compomics/ms2pip/compare/v4.0.0-dev6...v4.0.0-dev7

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Published by RalfG over 2 years ago

Added

New timsTOF 2024 model added (now alias for timsTOF) by @ArthurDeclercq in https://github.com/compomics/ms2pip/pull/211

Full Changelog: https://github.com/compomics/ms2pip/compare/v3.12.0...v3.13.0

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Published by RalfG over 2 years ago

What's Changed

Add code and figures for 2023 NAR manuscript @ArthurDeclercq in https://github.com/compomics/ms2pip/pull/196 and https://github.com/compomics/ms2pip/pull/197
Backport timsTOF model from 4.0 dev release to 3.12 release by @RalfG in https://github.com/compomics/ms2pip/pull/206

Full Changelog: https://github.com/compomics/ms2pip/compare/v3.11.0...v3.12.0

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Published by RalfG over 2 years ago

What's Changed

Add code and figures for 2023 NAR manuscript @ArthurDeclercq in https://github.com/compomics/ms2pip/pull/196 and https://github.com/compomics/ms2pip/pull/197
Backport timsTOF model from 4.0 dev release to 3.12 release by @RalfG in https://github.com/compomics/ms2pip/pull/206

Full Changelog: https://github.com/compomics/ms2pip/compare/v3.11.0...v3.12.0

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Published by RalfG over 2 years ago

ms2pip - v4.0.0-dev6

Full Changelog: https://github.com/compomics/ms2pip/compare/v4.0.0-dev5...v4.0.0-dev6

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Published by RalfG over 2 years ago

ms2pip - v4.0.0-dev5

Full Changelog: https://github.com/compomics/ms2pip/compare/v4.0.0-dev4...v4.0.0-dev5

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Published by RalfG almost 3 years ago

ms2pip - v4.0.0-dev4

Full Changelog: https://github.com/compomics/ms2pip/compare/v4.0.0-dev3...v4.0.0-dev4

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Published by RalfG almost 3 years ago

What's Changed

Timstof models by @ArthurDeclercq in https://github.com/compomics/ms2pip/pull/203

Full Changelog: https://github.com/compomics/ms2pip/compare/v4.0.0-dev2...v4.0.0-dev3

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Published by RalfG almost 3 years ago

ms2pip - v4.0.0-dev2

Full Changelog: https://github.com/compomics/ms2pip/compare/v4.0.0-dev1...v4.0.0-dev2

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Published by RalfG almost 3 years ago

ms2pip - v4.0.0-dev1

Full Changelog: https://github.com/compomics/ms2pip/compare/v4.0.0-dev0...v4.0.0-dev1

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Published by RalfG about 3 years ago

Early development release of v4.0.0, which includes: - Fully refactored Python API - New command-line interface - Support for all file formats readable by psm_utils - Support for both MGF and mzML spectrum files - Support for ProForma 2.0 peptide notation (no modification configuration required anymore) - Support for multiple peptides/PSMs per spectrum - ...

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Published by RalfG about 3 years ago

ms2pip - 3.11.0

Added

fasta2speclib: Improved workflow for generating spectral libraries starting from a FASTA file, with new configuration options. ⚠️ These changes break compatibility with the previous configuration files. ⚠️ (PR #193, fixes #188)
- Support for C-terminal modifications
- Differentiate between peptide and protein termini for variable modifications
- Allow filtering of peptides based on precursor m/z
- Allow semi-specific cleavage
- Allow non-specific cleavage
- Allow setting of a maximum of variable modifications per peptide
- Add tests for modification assignment
Add figures for 2023 manuscript (PR #194)

Changed

Change logging of model configuration to debug level (PR #193)

Removed

fasta2speclib: Removed support for Elude-based RT predictions, RT predictions file, PEPREC filter, saving temporary PEPREC files (PR #193)

Fixed

Remove unsupported argument for mzml.read (PR #193)
spectrum_output: Fix CSV output to always use \n line terminators (PR #193)
spectrum_output: Use semi-colon for spectronaut CSV output (PR #193)
DeepLC integration: Disable PyGAM for default calibration on iRT peptides (led to poor calibration) (PR #193)

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Published by RalfG over 3 years ago

ms2pip - v3.10.1

Added

If the precursor charge is not found in the MGF file, the charge from the PeptideRecord file is used instead. (#189)
Added tests for fasta2speclib modification generation. (#190)

Fixed

Fixed issue in fasta2speclib where fixed modifications were added one residue to the left of the actual site. This bug was introduced in commit https://github.com/compomics/ms2pip_c/commit/6f41d4404765ea0f7a0622571c97dd22be6e5b62 and released in v3.10.0. (#190)

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Published by RalfG over 3 years ago

ms2pip - v3.10.0

Added

Added support for mzML spectrum files (both for evaluating models and for extracting feature vectors).
New argument spectrum_id_pattern: Regular expression pattern to apply to spectrum titles before matching to peptide file entries.
When using MS²PIP as class instance, the resulting pred_and_emp dataframe can also be returned (instead of writing to a file) when setting return_results to True.
If requested, retention time prediction with DeepLC is now also enabled if spectrum file is given. This feature was previously only enabled if only a peptide file was given.

Changed

Improved logging: Use Rich library for logging, show time stamps and message log levels.
MS²PIP now shows a progress bar instead of a wall of text to display prediction progress.
fasta2speclib: Improved algorithm for variable modification assignment. Combinatorial explosion from variable modifications is now reduced by setting a maximum of modified residues per peptide, instead of arbitrarily selecting a maximum of potentially modified sites per peptide.
Update README.md (Switch from BadGen to Shields.io).
Switch to Pyteomics MGF reader.
Avoid SciPy dependency.
More optimal use of Numpy in calc_correlations.
Remove poetry.lock (not used, avoid unneeded Dependabot PRs).

Fixed

Vastly improved computational speed and reduced memory usage when using XGBoost model files for prediction in combination with providing a spectrum file (XGB prediction step is now moved out of multiprocessing).
For optimal performance, feature vectors for predictions from XGBoost model files now also uses the traditional ms2pipC.py multiprocessing system.
fasta2speclib: Fixed issue where modified versions of peptide were duplicated.
spectrum_output: Various fixes in MSP spectral library file writing for DIA-NN compatibility: Write m/z error of 0.0 for each predicted peak in peak annotation string, ensure modifications in MSP Mods field are sorted by position, use RetentionTime instead of RTINSECONDS in comments field.
Fixed double spectrum_utils entry in requirements.
Updated python_requires to minimal 3.7, following previously updated test grid.
Fix spectrum_utils modification off-by-one bug (had no consequences except for plot annotations).
- Fixes #170
Fix typo in write_amino_acid_masses function name.
Fix missing comma in the setup.py.

Removed

Removed unsupported Tableau output file option

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Published by RalfG over 3 years ago

ms2pip - v3.9.0

New and improved 🚀

New prediction model for CID-TMT: TMT-labelled peptide spectra acquired on ion trap (trap-type CID), often used for "MultiNotch MS3" (https://dx.doi.org/10.1021/ac502040v) (PR #157)
Support for Python 3.9 and 3.10; dropped support for end-of-life Python 3.6 (PR #156, fixes #126)
Support for alternative cleavage rules (digestion enzymes) in fasta2speclib (PR #166, fixes #96)

Bugfixes 🐛

Fixed missing support for XGBoost models in single-prediction mode (PR #157, fixes #155)
Use oldest-supported-numpy for build in CI testing (PR #157)

Refactoring and minor changes 🔧

Replaced C models files with their XGBoost counterpart (except for HCD2019 and TMT): Faster compilation, smaller Python package (PR #157)
Add model_dir option to set custom directory for model downloads (CLI, single-prediction CLI, Python API) (PR #169, fixes #165)
Add docstring to MS2PIP class and add example to README.md (PR #167, fixes #131)
Relaxed click version requirements (PR #157, fixes #158)
Removed XGBoost warnings from the CLI output (PR #157)
Various fasta2speclib improvements (PR #166)
- Add deeplc option to default config
- Suppress tensorflow warnings
- Replace deprecated pandas append with concat
Add missing sptm and gptm to example config.toml (#167)

New prediction models

| Model | Current version | Train-test dataset (unique peptides) | Evaluation dataset (unique peptides) | Median Pearson correlation on evaluation dataset | | - | - | - | - | - | | CID-TMT | v20220104 | in-house dataset | PXD005890 (69 768) | 0.851085

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Published by RalfG over 4 years ago

ms2pip - v3.8.0

New and improved 🚀

New models for non-tryptic peptides and immunopeptides! (PR #137) Checkout our preprint for more info: https://doi.org/10.1101/2021.11.02.466886
Support for Windows! Just run pip install ms2pip in your Windows terminal, and start predicting. (PR #151)

Bugfixes 🐛

In DLIB output, a value is now written to the isDecoy column. Fixes downstream readout of protein information. (#140, PR #152)

Refactoring and minor changes 🔧

Implementation of .xgboost model files directly is now supported, no dump to C and compilation required. (PR #137)

New prediction models

| Model | Current version | Train-test dataset (unique peptides) | Evaluation dataset (unique peptides) | Median Pearson correlation on evaluation dataset | | - | - | - | - | - | | HCD2021 | v20210416 | Combined dataset | PXD008034 (35 269) | 0.932361 | Immuno-HCD | v20210316 | Combined dataset | PXD005231 (HLA-I) (46 753)
PXD020011 (HLA-II) (23 941) | 0.963736
0.942383

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Published by RalfG over 4 years ago

ms2pip - v3.7.1

Fixed: - Pin NumPy version used during build to fix compatibility with older NumPy versions (PR #148)

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Published by paretje almost 5 years ago

ms2pip - v3.7.0

New: - Command to predict and plot a single spectrum (PR #136)

Improved: - fasta2speclib improvements (#135) - Pass through options from config file to DeepLC (fixes #138) - Pass num_cpu to DeepLC, either from the deeplc section in the configuration, or from the num_cpu option in the fasta2speclib configuration

Fixed: - Parse modifications on L (#144, PR #145)

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Published by RalfG almost 5 years ago

ms2pip - 3.6.3

New: - Python 3.9 support (PR #122)

New (also published for 3.6.2): - bioconda package - biocontainers docker image - macOS support (PR #95, PR #127), not yet for Python 3.9 (#126)

Fixed: - MS²PIP now exits on incorrectly configured or unknown modifications, instead of only showing a warning. (#100, PR #101) - Parsing of C-terminal modifications from a txt config file was broken in v3.6.2. This is now fixed (PR #109) - The example fasta2speclib configuration file erroneously contained average mass shifts, which has now been updated to the respective monoisotopic mass shifts. (PR #121) - If a critical error occurs, MS²PIP now exits with status code 1. (#102, PR #123) - Supported config file extensions are now described in help message and error message (#125, PR #129)

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Published by RalfG over 5 years ago

ms2pip - v3.6.2

Fixed in this release: - Fixes in logging formatting (#64, #65) - Use float formatting in CSV output - Retention time predictions can also be added without writing output to file - When MS²PIP is running in a daemon process, it will not attempt to use multiprocessing - Various improvments in match_spectra functionality (e.g. sqldb-backend, output, ...) - General cleanup of repository (e.g. unused models)

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Published by RalfG about 6 years ago

ms2pip - v3.6.1

New in this release: - Small fix in fasta2speclib parameter handing - New option save_peprec in fasta2speclib to save peprec files (including DeepLC predictions, if present)

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Published by RalfG over 6 years ago

ms2pip - v3.6.0

New since previous release: - DeepLC integration! Predict spectral libraries with accurate LC retention time prediction, even for modified peptides. Enable DeepLC with the -r flag in MS²PIP or by adding "add_retention_time":true to the fasta2speclib configuration. - Additional support for TOML-based configuration files: see config.toml example - New Skyline .blib to PEPREC and MGF converter script in conversion_tools - Various under-the-hood improvements

Includes the following models:

Model | Current version | Train-test dataset (unique peptides) | Evaluation dataset (unique peptides) | Median Pearson correlation on evaluation dataset -|-|-|-|- HCD | v20190107 | MassIVE-KB (1 623 712) | PXD008034 (35 269) | 0.903786 CID | v20190107 | NIST CID Human (340 356) | NIST CID Yeast (92 609) | 0.904947 iTRAQ | v20190107 | NIST iTRAQ (704 041) | PXD001189 (41 502) | 0.905870 iTRAQphospho | v20190107 | NIST iTRAQ phospho (183 383) | PXD001189 (9 088) | 0.843898 TMT | v20190107 | Peng Lab TMT Spectral Library (1 185 547) | PXD009495 (36 137) | 0.950460 TTOF5600 | v20190107 | PXD000954 (215 713) | PXD001587 (15 111) | 0.746823 HCDch2 | v20190107 | MassIVE-KB (1 623 712) | PXD008034 (35 269) | 0.903786 (+) and 0.644162 (++) CIDch2 | v20190107 | NIST CID Human (340 356) | NIST CID Yeast (92 609) | 0.904947 (+) and 0.813342 (++)

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Published by RalfG over 6 years ago

ms2pip - v3.5.1

New since previous release: - Hotfix: add header files to manifest

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Published by RalfG over 6 years ago

ms2pip - v3.5.0

New since last release:

ProteinId column added to Spectronaut CSV output
Major code refactoring
Improved logging
Improved exception handling
Faster compilation

Includes the following models:

Model | Current version | Train-test dataset (unique peptides) | Evaluation dataset (unique peptides) | Median Pearson correlation on evaluation dataset -|-|-|-|- HCD | v20190107 | MassIVE-KB (1 623 712) | PXD008034 (35 269) | 0.903786 CID | v20190107 | NIST CID Human (340 356) | NIST CID Yeast (92 609) | 0.904947 iTRAQ | v20190107 | NIST iTRAQ (704 041) | PXD001189 (41 502) | 0.905870 iTRAQphospho | v20190107 | NIST iTRAQ phospho (183 383) | PXD001189 (9 088) | 0.843898 TMT | v20190107 | Peng Lab TMT Spectral Library (1 185 547) | PXD009495 (36 137) | 0.950460 TTOF5600 | v20190107 | PXD000954 (215 713) | PXD001587 (15 111) | 0.746823 HCDch2 | v20190107 | MassIVE-KB (1 623 712) | PXD008034 (35 269) | 0.903786 (+) and 0.644162 (++) CIDch2 | v20190107 | NIST CID Human (340 356) | NIST CID Yeast (92 609) | 0.904947 (+) and 0.813342 (++)

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Published by RalfG over 6 years ago

ms2pip - v3.4.2

New since last release:

MS²PIP can now be downloaded and installed from PyPI using pip install ms2pip. MS²PIP on PyPI is already compiled, so it can be installed in seconds (without slow and memory inefficient compilation step).
MS²PIP will use all available CPUs by default.
Speed improvements after multiprocessing step (especially for large numbers of predictions).
Moved to semantic versioning

Includes the following models:

Model | Current version | Train-test dataset (unique peptides) | Evaluation dataset (unique peptides) | Median Pearson correlation on evaluation dataset -|-|-|-|- HCD | v20190107 | MassIVE-KB (1 623 712) | PXD008034 (35 269) | 0.903786 CID | v20190107 | NIST CID Human (340 356) | NIST CID Yeast (92 609) | 0.904947 iTRAQ | v20190107 | NIST iTRAQ (704 041) | PXD001189 (41 502) | 0.905870 iTRAQphospho | v20190107 | NIST iTRAQ phospho (183 383) | PXD001189 (9 088) | 0.843898 TMT | v20190107 | Peng Lab TMT Spectral Library (1 185 547) | PXD009495 (36 137) | 0.950460 TTOF5600 | v20190107 | PXD000954 (215 713) | PXD001587 (15 111) | 0.746823 HCDch2 | v20190107 | MassIVE-KB (1 623 712) | PXD008034 (35 269) | 0.903786 (+) and 0.644162 (++) CIDch2 | v20190107 | NIST CID Human (340 356) | NIST CID Yeast (92 609) | 0.904947 (+) and 0.813342 (++)

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Published by RalfG over 6 years ago

ms2pip - v20191029

New since last release: - MS²PIP is now locally installable with pip and conda - New: Spectronaut CSV and Bibliospec/Skyline output formats - Output formats can now be specified in the config file (e.g. out=csv,msp,spectronaut) - Slightly faster model compilation

Includes the following models:

Model | Current version | Train-test dataset (unique peptides) | Evaluation dataset (unique peptides) | Median Pearson correlation on evaluation dataset -|-|-|-|- HCD | v20190107 | MassIVE-KB (1 623 712) | PXD008034 (35 269) | 0.903786 CID | v20190107 | NIST CID Human (340 356) | NIST CID Yeast (92 609) | 0.904947 iTRAQ | v20190107 | NIST iTRAQ (704 041) | PXD001189 (41 502) | 0.905870 iTRAQphospho | v20190107 | NIST iTRAQ phospho (183 383) | PXD001189 (9 088) | 0.843898 TMT | v20190107 | Peng Lab TMT Spectral Library (1 185 547) | PXD009495 (36 137) | 0.950460 TTOF5600 | v20190107 | PXD000954 (215 713) | PXD001587 (15 111) | 0.746823 HCDch2 | v20190107 | MassIVE-KB (1 623 712) | PXD008034 (35 269) | 0.903786 (+) and 0.644162 (++) CIDch2 | v20190107 | NIST CID Human (340 356) | NIST CID Yeast (92 609) | 0.904947 (+) and 0.813342 (++)

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Published by RalfG over 6 years ago

ms2pip - v20190624

New since previous release: - Add 'RetentionTimeMins' to MSP output, if ELUDE model file is given.

Includes precompiled files: ms2pip_c_v20190624_precompiled_cython_modules.zip (See the Extended Install Instructions for more information)

Includes the following models:

Model | Current version | Train-test dataset (unique peptides) | Evaluation dataset (unique peptides) | Median Pearson correlation on evaluation dataset -|-|-|-|- HCD | v20190107 | MassIVE-KB (1 623 712) | PXD008034 (35 269) | 0.903786 CID | v20190107 | NIST CID Human (340 356) | NIST CID Yeast (92 609) | 0.904947 iTRAQ | v20190107 | NIST iTRAQ (704 041) | PXD001189 (41 502) | 0.905870 iTRAQphospho | v20190107 | NIST iTRAQ phospho (183 383) | PXD001189 (9 088) | 0.843898 TMT | v20190107 | Peng Lab TMT Spectral Library (1 185 547) | PXD009495 (36 137) | 0.950460 TTOF5600 | v20190107 | PXD000954 (215 713) | PXD001587 (15 111) | 0.746823 HCDch2 | v20190107 | MassIVE-KB (1 623 712) | PXD008034 (35 269) | 0.903786 (+) and 0.644162 (++) CIDch2 | v20190107 | NIST CID Human (340 356) | NIST CID Yeast (92 609) | 0.904947 (+) and 0.813342 (++)

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Published by RalfG about 7 years ago

ms2pip - v20190312

New since last release: - Included models for charge 2 fragment ions (CID and HCD)

Includes precompiled files : ms2pip_c_v20190312_precompiled_cython_modules.zip (See the Extended Install Instructions for more information)

Includes the following models:

Model | Current version | Train-test dataset (unique peptides) | Evaluation dataset (unique peptides) | Median Pearson correlation on evaluation dataset -|-|-|-|- HCD | v20190107 | MassIVE-KB (1 623 712) | PXD008034 (35 269) | 0.903786 CID | v20190107 | NIST CID Human (340 356) | NIST CID Yeast (92 609) | 0.904947 iTRAQ | v20190107 | NIST iTRAQ (704 041) | PXD001189 (41 502) | 0.905870 iTRAQphospho | v20190107 | NIST iTRAQ phospho (183 383) | PXD001189 (9 088) | 0.843898 TMT | v20190107 | Peng Lab TMT Spectral Library (1 185 547) | PXD009495 (36 137) | 0.950460 TTOF5600 | v20190107 | PXD000954 (215 713) | PXD001587 (15 111) | 0.746823 HCDch2 | v20190107 | MassIVE-KB (1 623 712) | PXD008034 (35 269) | 0.903786 (+) and 0.644162 (++) CIDch2 | v20190107 | NIST CID Human (340 356) | NIST CID Yeast (92 609) | 0.904947 (+) and 0.813342 (++)

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Published by RalfG over 7 years ago

ms2pip - v20190130

New since last release: - Bugfixes - Updated requirements.txt - Includes precompiled files see the Extended Install Instructions for more information

Includes the following models:

Model | Current version | Train-test dataset (unique peptides) | Evaluation dataset (unique peptides) | Median Pearson correlation on evaluation dataset -|-|-|-|- HCD | v20190107 | MassIVE-KB (1 623 712) | PXD008034 (35 269) | 0.903786 CID | v20190107 | NIST CID Human (340 356) | NIST CID Yeast (92 609) | 0.904947 iTRAQ | v20190107 | NIST iTRAQ (704 041) | PXD001189 (41 502) | 0.905870 iTRAQphospho | v20190107 | NIST iTRAQ phospho (183 383) | PXD001189 (9 088) | 0.843898 TMT | v20190107 | Peng Lab TMT Spectral Library (1 185 547) | PXD009495 (36 137) | 0.950460 TTOF5600 | v20190107 | PXD000954 (215 713) | PXD001587 (15 111) | 0.746823

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Published by RalfG over 7 years ago

ms2pip - v20190120

First official GitHub release of the third iteration of MS2PIP, called MS2PIPc.

Includes the following models:

Model | Current version | Train-test dataset (unique peptides) | Evaluation dataset (unique peptides) | Median Pearson correlation on evaluation dataset -|-|-|-|- HCD | v20190107 | MassIVE-KB (1 623 712) | PXD008034 (35 269) | 0.903786 CID | v20190107 | NIST CID Human (340 356) | NIST CID Yeast (92 609) | 0.904947 iTRAQ | v20190107 | NIST iTRAQ (704 041) | PXD001189 (41 502) | 0.905870 iTRAQphospho | v20190107 | NIST iTRAQ phospho (183 383) | PXD001189 (9 088) | 0.843898 TMT | v20190107 | Peng Lab TMT Spectral Library (1 185 547) | PXD009495 (36 137) | 0.950460 TTOF5600 | v20190107 | PXD000954 (215 713) | PXD001587 (15 111) | 0.746823

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Published by RalfG over 7 years ago

Recent Releases of ms2pip

ms2pip - v1.4.0

Added

Changed

Removed

ms2pip - v4.0.0

ms2pip - v4.0.0-dev14

ms2pip - v4.0.0-dev14

ms2pip - v4.0.0-dev13

ms2pip - v4.0.0-dev12

ms2pip - v4.0.0-dev11

ms2pip - v4.0.0-dev10

ms2pip - v4.0.0-dev9

ms2pip - v4.0.0-dev8

ms2pip - v4.0.0-dev7

ms2pip - v3.13.0

Added

ms2pip - v3.12.0

What's Changed

ms2pip - v3.12.0

What's Changed

ms2pip - v4.0.0-dev6

ms2pip - v4.0.0-dev5

ms2pip - v4.0.0-dev4

ms2pip - v4.0.0-dev3

What's Changed

ms2pip - v4.0.0-dev2

ms2pip - v4.0.0-dev1

ms2pip - v4.0.0-dev0

ms2pip - 3.11.0

Added

Changed

Removed

Fixed

ms2pip - v3.10.1

Added

Fixed

ms2pip - v3.10.0

Added

Changed

Fixed

Removed

ms2pip - v3.9.0

New and improved 🚀

Bugfixes 🐛

Refactoring and minor changes 🔧

New prediction models

ms2pip - v3.8.0

New and improved 🚀

Bugfixes 🐛

Refactoring and minor changes 🔧

New prediction models

ms2pip - v3.7.1

ms2pip - v3.7.0

ms2pip - 3.6.3

ms2pip - v3.6.2

ms2pip - v3.6.1

ms2pip - v3.6.0

ms2pip - v3.5.1

ms2pip - v3.5.0

ms2pip - v3.4.2

ms2pip - v20191029

ms2pip - v20190624

ms2pip - v20190312

ms2pip - v20190130

ms2pip - v20190120