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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 68 new columns ({'MZML_ms2_highest_observed_mz', 'MZML_selected_ion_peak_intensity', 'SUBDATASET_id', 'TOPPIC_protein_n-terminal_form', 'MSALIGN_ms2_id', 'MZML_ms2_scan', 'TOPPIC_special_amino_acids', 'TOPPIC_spectrum-level_q-value', 'TOPPIC_proteoform-level_q-value', 'MSALIGN_feature_apex_time', 'MZML_ms1_retention_time', 'MZML_ms2_scan_window_upper_limit', 'TOPPIC_proteoform_mass', 'MZML_ms1_ion_injection_time', 'TOPPIC_proteoform_intensity', 'TOPPIC_e-value', 'MSALIGN_feature_score', 'MZML_activation', 'MZML_ms2_scan_window_lower_limit', 'MZML_ms2_ion_injection_time', 'TOPPIC_proteoform_id', 'TOPPIC_last_residue_position', 'TOPPIC_number_of_unexpected_modifications', 'TOPPIC_first_residue_position', 'TOPPIC_next_residue', 'DATASET_id', 'MSALIGN_precursor_intensity', 'MZML_ms1_lowest_observed_mz', 'TOPPIC_protein_accession', 'TOPPIC_proteoform', 'TOPPIC_number_of_matched_theoretical_fragment_masses', 'MSALIGN_number_of_fragment_ions', 'TOPPIC_database_sequence', 'MZML_ms1_mass_resolving_power', 'MZML_ms2_retention_time', 'MSALIGN_feature_intensity', 'MSALIGN_feature_id', 'TOPPIC_number_of_matched_experimental_fragment_ions', 'TOPPIC_previous_residue', 'MZML_ms1_scan_window_upper_limit', 'TOPPIC_prsm_id', 'MZML_ms2_total_ion_current', 'MZML_selected_ion_charge', 'TOPPIC_variable_modifications', 'TOPPIC_number_of_variable_modifications', 'MZML_isolation_window_lower_offset', 'MZML_ms1_scan_window_lower_limit', 'MZML_isolation_window_target_mz', 'MSALIGN_ms1_id', 'TOPPIC_protein_description', 'MZML_ms1_highest_observed_mz', 'MSALIGN_precursor_monoisotopic_mass', 'MSALIGN_precursor_charge', 'MZML_ms2_lowest_observed_mz', 'PROJECT_id', 'MZML_instrument', 'MZML_isolation_window_upper_offset', 'TOPPIC_number_of_protein_hits', 'MZML_ms1_total_ion_current', 'MZML_ms1_scan', 'MSALIGN_file_name', 'MZML_selected_ion_mz', 'MZML_ms2_mass_resolving_power', 'TOPPIC_fixed_modifications', 'TOPPIC_unexpected_modifications', 'TOPPIC_adjusted_precursor_mass', 'MZML_collision_energy', 'TOPPIC_miscore'}) and 14 missing columns ({'Species', 'Dataset_id', 'FAIMS', '#MS/MS_spectra', 'Instrument', '#Proteoform_ids', 'Raw_file_name', 'Cysteine_protection', '#Msalign_files', '#PrSM_ids', '#Protein_ids', 'Dissociation', 'Separation', 'Sample'}).

This happened while the csv dataset builder was generating data using

hf://datasets/TopRepo/G-max/toprepo_g_max_spectrum_table_ms2_v1.2.0.tsv (at revision 6dafc17c4bc41bec038cfe38322e77432e6bb103), [/tmp/hf-datasets-cache/medium/datasets/17678282271174-config-parquet-and-info-TopRepo-G-max-c9287f30/hub/datasets--TopRepo--G-max/snapshots/6dafc17c4bc41bec038cfe38322e77432e6bb103/toprepo_g_max_meta_table_v1.2.0.tsv (origin=hf://datasets/TopRepo/G-max@6dafc17c4bc41bec038cfe38322e77432e6bb103/toprepo_g_max_meta_table_v1.2.0.tsv), /tmp/hf-datasets-cache/medium/datasets/17678282271174-config-parquet-and-info-TopRepo-G-max-c9287f30/hub/datasets--TopRepo--G-max/snapshots/6dafc17c4bc41bec038cfe38322e77432e6bb103/toprepo_g_max_spectrum_table_ms2_v1.2.0.tsv (origin=hf://datasets/TopRepo/G-max@6dafc17c4bc41bec038cfe38322e77432e6bb103/toprepo_g_max_spectrum_table_ms2_v1.2.0.tsv)]

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              PROJECT_id: int64
              SUBDATASET_id: int64
              DATASET_id: string
              MZML_file_name: string
              MZML_instrument: string
              MZML_ms1_scan: int64
              MZML_ms1_scan_window_lower_limit: double
              MZML_ms1_scan_window_upper_limit: double
              MZML_ms1_retention_time: double
              MZML_ms1_total_ion_current: double
              MZML_ms1_mass_resolving_power: double
              MZML_ms1_ion_injection_time: double
              MZML_ms1_lowest_observed_mz: double
              MZML_ms1_highest_observed_mz: double
              MZML_ms2_scan: int64
              MZML_ms2_scan_window_lower_limit: double
              MZML_ms2_scan_window_upper_limit: double
              MZML_ms2_retention_time: double
              MZML_ms2_total_ion_current: double
              MZML_ms2_mass_resolving_power: double
              MZML_ms2_ion_injection_time: double
              MZML_ms2_lowest_observed_mz: double
              MZML_ms2_highest_observed_mz: double
              MZML_isolation_window_target_mz: double
              MZML_isolation_window_lower_offset: double
              MZML_isolation_window_upper_offset: double
              MZML_selected_ion_mz: double
              MZML_selected_ion_peak_intensity: double
              MZML_selected_ion_charge: double
              MZML_activation: string
              MZML_collision_energy: double
              MSALIGN_file_name: string
              MSALIGN_ms1_id: int64
              MSALIGN_ms2_id: int64
              MSALIGN_precursor_charge: string
              MSALIGN_precursor_monoisotopic_mass: string
              MSALIGN_precursor_intensity: string
              MSALIGN_feature_id: string
              MSALIGN_feature_intensity: string
              MSALIGN_feature_score: string
              MSALIGN_feature_apex_time: string
              MSALIGN_number_of_fragment_ions: int64
              TOPPIC_prsm_id: double
              TOPPIC_adjusted_precursor_mass: double
              TOPPIC_proteoform_id: double
              TOPPIC_proteoform_intensity: double
              TOPPIC_number_of_protein_hits: double
              TOPPIC_protein_accession: string
              TOPPIC_protein_description: string
              TOPPIC_first_residue_position: double
              TOPPIC_last_residue_position: double
              TOPPIC_special_amino_acids: double
              TOPPIC_database_sequence: string
              TOPPIC_proteoform_mass: double
              TOPPIC_protein_n-terminal_form: string
              TOPPIC_fixed_modifications: double
              TOPPIC_number_of_unexpected_modifications: double
              TOPPIC_unexpected_modifications: string
              TOPPIC_number_of_variable_modifications: double
              TOPPIC_variable_modifications: double
              TOPPIC_miscore: string
              TOPPIC_number_of_matched_experimental_fragment_ions: double
              TOPPIC_number_of_matched_theoretical_fragment_masses: double
              TOPPIC_e-value: double
              TOPPIC_spectrum-level_q-value: double
              TOPPIC_proteoform-level_q-value: double
              TOPPIC_proteoform: string
              TOPPIC_previous_residue: string
              TOPPIC_next_residue: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 10669
              to
              {'Dataset_id': Value('string'), 'Raw_file_name': Value('string'), 'MZML_file_name': Value('string'), '#Msalign_files': Value('int64'), '#MS/MS_spectra': Value('int64'), '#PrSM_ids': Value('int64'), '#Proteoform_ids': Value('int64'), '#Protein_ids': Value('int64'), 'Species': Value('string'), 'Instrument': Value('string'), 'Dissociation': Value('string'), 'Sample': Value('string'), 'Separation': Value('string'), 'Cysteine_protection': Value('float64'), 'FAIMS': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1348, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1802, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 68 new columns ({'MZML_ms2_highest_observed_mz', 'MZML_selected_ion_peak_intensity', 'SUBDATASET_id', 'TOPPIC_protein_n-terminal_form', 'MSALIGN_ms2_id', 'MZML_ms2_scan', 'TOPPIC_special_amino_acids', 'TOPPIC_spectrum-level_q-value', 'TOPPIC_proteoform-level_q-value', 'MSALIGN_feature_apex_time', 'MZML_ms1_retention_time', 'MZML_ms2_scan_window_upper_limit', 'TOPPIC_proteoform_mass', 'MZML_ms1_ion_injection_time', 'TOPPIC_proteoform_intensity', 'TOPPIC_e-value', 'MSALIGN_feature_score', 'MZML_activation', 'MZML_ms2_scan_window_lower_limit', 'MZML_ms2_ion_injection_time', 'TOPPIC_proteoform_id', 'TOPPIC_last_residue_position', 'TOPPIC_number_of_unexpected_modifications', 'TOPPIC_first_residue_position', 'TOPPIC_next_residue', 'DATASET_id', 'MSALIGN_precursor_intensity', 'MZML_ms1_lowest_observed_mz', 'TOPPIC_protein_accession', 'TOPPIC_proteoform', 'TOPPIC_number_of_matched_theoretical_fragment_masses', 'MSALIGN_number_of_fragment_ions', 'TOPPIC_database_sequence', 'MZML_ms1_mass_resolving_power', 'MZML_ms2_retention_time', 'MSALIGN_feature_intensity', 'MSALIGN_feature_id', 'TOPPIC_number_of_matched_experimental_fragment_ions', 'TOPPIC_previous_residue', 'MZML_ms1_scan_window_upper_limit', 'TOPPIC_prsm_id', 'MZML_ms2_total_ion_current', 'MZML_selected_ion_charge', 'TOPPIC_variable_modifications', 'TOPPIC_number_of_variable_modifications', 'MZML_isolation_window_lower_offset', 'MZML_ms1_scan_window_lower_limit', 'MZML_isolation_window_target_mz', 'MSALIGN_ms1_id', 'TOPPIC_protein_description', 'MZML_ms1_highest_observed_mz', 'MSALIGN_precursor_monoisotopic_mass', 'MSALIGN_precursor_charge', 'MZML_ms2_lowest_observed_mz', 'PROJECT_id', 'MZML_instrument', 'MZML_isolation_window_upper_offset', 'TOPPIC_number_of_protein_hits', 'MZML_ms1_total_ion_current', 'MZML_ms1_scan', 'MSALIGN_file_name', 'MZML_selected_ion_mz', 'MZML_ms2_mass_resolving_power', 'TOPPIC_fixed_modifications', 'TOPPIC_unexpected_modifications', 'TOPPIC_adjusted_precursor_mass', 'MZML_collision_energy', 'TOPPIC_miscore'}) and 14 missing columns ({'Species', 'Dataset_id', 'FAIMS', '#MS/MS_spectra', 'Instrument', '#Proteoform_ids', 'Raw_file_name', 'Cysteine_protection', '#Msalign_files', '#PrSM_ids', '#Protein_ids', 'Dissociation', 'Separation', 'Sample'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/TopRepo/G-max/toprepo_g_max_spectrum_table_ms2_v1.2.0.tsv (at revision 6dafc17c4bc41bec038cfe38322e77432e6bb103), [/tmp/hf-datasets-cache/medium/datasets/17678282271174-config-parquet-and-info-TopRepo-G-max-c9287f30/hub/datasets--TopRepo--G-max/snapshots/6dafc17c4bc41bec038cfe38322e77432e6bb103/toprepo_g_max_meta_table_v1.2.0.tsv (origin=hf://datasets/TopRepo/G-max@6dafc17c4bc41bec038cfe38322e77432e6bb103/toprepo_g_max_meta_table_v1.2.0.tsv), /tmp/hf-datasets-cache/medium/datasets/17678282271174-config-parquet-and-info-TopRepo-G-max-c9287f30/hub/datasets--TopRepo--G-max/snapshots/6dafc17c4bc41bec038cfe38322e77432e6bb103/toprepo_g_max_spectrum_table_ms2_v1.2.0.tsv (origin=hf://datasets/TopRepo/G-max@6dafc17c4bc41bec038cfe38322e77432e6bb103/toprepo_g_max_spectrum_table_ms2_v1.2.0.tsv)]
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Dataset_id
string
Raw_file_name
string
MZML_file_name
string
#Msalign_files
int64
#MS/MS_spectra
int64
#PrSM_ids
int64
#Proteoform_ids
int64
#Protein_ids
int64
Species
string
Instrument
string
Dissociation
string
Sample
string
Separation
string
Cysteine_protection
null
FAIMS
string
MSV000089984
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.raw
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
1
7,586
1,659
305
107
G. max
Q Exactive HF
HCD
Glycine max (soybean) root nodules
RPLC
null
No
MSV000089984
Glyco_SoybeanNodule_TPD_M02_19Nov21_21-02-05.raw
Glyco_SoybeanNodule_TPD_M02_19Nov21_21-02-05.mzML
1
9,155
1,972
308
115
G. max
Q Exactive HF
HCD
Glycine max (soybean) root nodules
RPLC
null
No
MSV000089984
Glyco_SoybeanNodule_TPD_M03_19Nov21_21-02-05.raw
Glyco_SoybeanNodule_TPD_M03_19Nov21_21-02-05.mzML
1
8,313
1,614
197
75
G. max
Q Exactive HF
HCD
Glycine max (soybean) root nodules
RPLC
null
No
MSV000089984
Glyco_SoybeanNodule_TPD_M04_19Nov21_21-02-05.raw
Glyco_SoybeanNodule_TPD_M04_19Nov21_21-02-05.mzML
1
8,321
1,653
212
73
G. max
Q Exactive HF
HCD
Glycine max (soybean) root nodules
RPLC
null
No
MSV000089984
Glyco_SoybeanNodule_TPD_M05_19Nov21_21-02-05.raw
Glyco_SoybeanNodule_TPD_M05_19Nov21_21-02-05.mzML
1
8,115
1,691
255
82
G. max
Q Exactive HF
HCD
Glycine max (soybean) root nodules
RPLC
null
No
MSV000089984
Glyco_SoybeanNodule_TPD_WT01_19Nov21_21-02-05.raw
Glyco_SoybeanNodule_TPD_WT01_19Nov21_21-02-05.mzML
1
8,588
1,441
405
114
G. max
Q Exactive HF
HCD
Glycine max (soybean) root nodules
RPLC
null
No
MSV000089984
Glyco_SoybeanNodule_TPD_WT02_19Nov21_21-02-05.raw
Glyco_SoybeanNodule_TPD_WT02_19Nov21_21-02-05.mzML
1
9,023
1,940
553
136
G. max
Q Exactive HF
HCD
Glycine max (soybean) root nodules
RPLC
null
No
MSV000089984
Glyco_SoybeanNodule_TPD_WT03_19Nov21_21-02-05.raw
Glyco_SoybeanNodule_TPD_WT03_19Nov21_21-02-05.mzML
1
8,923
1,910
503
123
G. max
Q Exactive HF
HCD
Glycine max (soybean) root nodules
RPLC
null
No
MSV000089984
Glyco_SoybeanNodule_TPD_WT04_19Nov21_21-02-05.raw
Glyco_SoybeanNodule_TPD_WT04_19Nov21_21-02-05.mzML
1
8,809
1,909
524
120
G. max
Q Exactive HF
HCD
Glycine max (soybean) root nodules
RPLC
null
No
MSV000089984
Glyco_SoybeanNodule_TPD_WT05_19Nov21_21-02-05.raw
Glyco_SoybeanNodule_TPD_WT05_19Nov21_21-02-05.mzML
1
8,923
1,912
589
142
G. max
Q Exactive HF
HCD
Glycine max (soybean) root nodules
RPLC
null
No
null
null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
null
null
null
null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
null
null
null
null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
null
null
null
null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
null
null
null
null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
null
null
null
null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
null
null
null
null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
null
null
null
null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
null
null
null
null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
null
null
null
null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
null
null
null
null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
null
null
null
null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
null
null
null
null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
null
null
null
null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
null
null
null
null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
null
null
null
null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
null
null
null
null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
null
null
null
null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
null
null
null
null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
null
null
null
null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
null
null
null
null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
null
null
null
null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
null
null
null
null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
null
null
null
null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
null
null
null
null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
null
null
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null
Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
null
null
null
null
null
null
null
null
null
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Glyco_SoybeanNodule_TPD_M01_19Nov21_21-02-05.mzML
null
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null
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null
null
null
null
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End of preview.

TopRepo is a top-down spectral repository containing more than 12 million MS/MS spectra from 12 species. For each MS raw file in TopRepo, msconvert is used to convert the raw file to a centroided mzML file, and then TopFD is employed to deconvolute spectra in the centroided mzML file to one or several msalign files and proteoform feature files. The msalign files are searched against its corresponding proteome sequence database for spectral identification using TopPIC. The identification results are stored in TSV files.

Using mzML files, msalign files, feature files, and spectral identification (TSV) files generated from the data analysis pipeline, Python scripts in this repository are used to generate TSV files with comprehensive spectral information, annotated msalign files, and annotated mgf files.

Dataset Structure

The dataset consists of two TSV files for the species Glycine max.

  1. Metadata Table toprepo_g_max_meta_table_v1.2.0.tsv Contains experiment-level metadata including:
  • dataset identifiers
  • species information
  • instrument metadata
  • dissociation methods
  • counts of spectra, proteins, and proteoforms
  1. Spectrum Table toprepo_g_max_spectrum_table_ms2_v1.2.0.tsv Contains spectrum-level MS/MS analytical data including:
  • scan identifiers
  • precursor ion information
  • fragmentation measurements
  • proteoform annotations
  • protein identifications
  • statistical confidence metrics
  1. Annotated .msalign file

Sources

Contact

For questions regarding this dataset, please contact the TopRepo team through: xwliu@tulane.edu kli7@tulane.edu

Copyright (c) 2025 - 2026, Tulane University.

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