Hello there,
I am running a test on DIA-NN and I have issues getting the modifications on the peptide for the DBIA. My data is from a DIA public database and the code I am running is as below:
I generated the specLib first.
Then I uploaded the file, the speclIb and the fasta files.
-
My very first question is what should be precursor ion generation mode in the GUI:
Library search off OR
Prediction from library?
-
In the output section of the GUI, should I enable the Generate spectral library again?
-
Is it the correct way of defining DBIA modification? I searched everywhere on the manual and I could not find the correct way. Would you please clarify it?
Thank you for your help
diann.exe --f "D:\PXD054127\DC2461_ELB00032_20220318_DIA_H00AGKI_P02_B02_S2-B2_1_2005.d" --lib "D:\PXD054127\fasta_speclib\report-lib.predicted.speclib" --threads 6 --verbose 3 --out "C:\Users\Administrator\Desktop\DIANN_result_test\run5\report.parquet" --qvalue 0.01 --matrices --out-lib "C:\Users\Administrator\Desktop\DIANN_result_test\test-lib.parquet" --gen-spec-lib --fasta "C:\Users\Administrator\Desktop\fragpipe\2025-10-30-decoys-reviewed-contam-UP000005640_2.fasta" --met-excision --min-pep-len 7 --max-pep-len 30 --min-pr-mz 300 --max-pr-mz 1800 --min-pr-charge 1 --max-pr-charge 4 --min-fr-mz 200 --max-fr-mz 1800 --cut K*,R* --missed-cleavages 1 --mass-acc 15 --mass-acc-ms1 10 --reanalyse --rt-profiling **--var-mods 2 --var-mod UniMod:4,57.02146,C --var-mod DBIA:DBIA,296.1818,C**
DIA-NN 2.3.0 Academia (Data-Independent Acquisition by Neural Networks)
Compiled on Sep 27 2025 22:03:55
Current date and time: Tue Dec 16 10:15:53 2025
CPU: GenuineIntel Intel(R) Core(TM) i7-8700 CPU @ 3.20GHz
SIMD instructions: AVX AVX2 FMA SSE4.1 SSE4.2
Logical CPU cores: 12
Thread number set to 6
Output will be filtered at 0.01 FDR
Precursor/protein x samples expression level matrices will be saved along with the main report
A spectral library will be generated
N-terminal methionine excision enabled
Min peptide length set to 7
Max peptide length set to 30
Min precursor m/z set to 300
Max precursor m/z set to 1800
Min precursor charge set to 1
Max precursor charge set to 4
Min fragment m/z set to 200
Max fragment m/z set to 1800
In silico digest will involve cuts at K*,R*
Maximum number of missed cleavages set to 1
MBR enabled; .quant files will only be saved to disk during the first pass
The spectral library (if generated) will retain the original spectra but will include empirically-aligned RTs
Maximum number of variable modifications set to 2
Modification UniMod:4 with mass delta 57.0215 at C will be considered as variable
Modification DBIA:DBIA with mass delta 296.182 at C will be considered as variable
Cannot find a UniMod modification match for DBIA:DBIA: 140.081 minimal mass discrepancy; using the original modificaiton name
Mass accuracy will be fixed to 1.5e-05 (MS2) and 1e-05 (MS1)
WARNING: peptidoform scoring enabled because variable modifications have been declared; to disable, use --no-peptidoforms
The following variable modifications will be localised: UniMod:4 DBIA:DBIA
WARNING: MBR turned off, at least two files are required
1 files will be processed
[0:00] Loading spectral library D:\PXD054127\fasta_speclib\report-lib.predicted.speclib
[0:07] Library annotated with sequence database(s): C:\Users\Administrator\Desktop\fragpipe\2025-10-30-decoys-reviewed-contam-UP000005640_2.fasta
[0:08] Spectral library loaded: 40863 protein isoforms, 59253 protein groups and 8607896 precursors in 2679296 elution groups.
[0:08] Loading protein annotations from FASTA C:\Users\Administrator\Desktop\fragpipe\2025-10-30-decoys-reviewed-contam-UP000005640_2.fasta
[0:09] Annotating library proteins with information from the FASTA database
[0:09] Gene names missing for some isoforms
[0:09] Library contains 25451 proteins, and 25112 genes
[0:16] Initialising library
[0:35] Library RAM: 919MB (core), 1163MB (fragments), 161MB (names), 36MB (protein_ids), 24MB (protein
Hello there,
I am running a test on DIA-NN and I have issues getting the modifications on the peptide for the DBIA. My data is from a DIA public database and the code I am running is as below:
I generated the specLib first.
Then I uploaded the file, the speclIb and the fasta files.
My very first question is what should be precursor ion generation mode in the GUI:
Library search off OR
Prediction from library?
In the output section of the GUI, should I enable the Generate spectral library again?
Is it the correct way of defining DBIA modification? I searched everywhere on the manual and I could not find the correct way. Would you please clarify it?
Thank you for your help
diann.exe --f "D:\PXD054127\DC2461_ELB00032_20220318_DIA_H00AGKI_P02_B02_S2-B2_1_2005.d" --lib "D:\PXD054127\fasta_speclib\report-lib.predicted.speclib" --threads 6 --verbose 3 --out "C:\Users\Administrator\Desktop\DIANN_result_test\run5\report.parquet" --qvalue 0.01 --matrices --out-lib "C:\Users\Administrator\Desktop\DIANN_result_test\test-lib.parquet" --gen-spec-lib --fasta "C:\Users\Administrator\Desktop\fragpipe\2025-10-30-decoys-reviewed-contam-UP000005640_2.fasta" --met-excision --min-pep-len 7 --max-pep-len 30 --min-pr-mz 300 --max-pr-mz 1800 --min-pr-charge 1 --max-pr-charge 4 --min-fr-mz 200 --max-fr-mz 1800 --cut K*,R* --missed-cleavages 1 --mass-acc 15 --mass-acc-ms1 10 --reanalyse --rt-profiling **--var-mods 2 --var-mod UniMod:4,57.02146,C --var-mod DBIA:DBIA,296.1818,C**DIA-NN 2.3.0 Academia (Data-Independent Acquisition by Neural Networks)
Compiled on Sep 27 2025 22:03:55
Current date and time: Tue Dec 16 10:15:53 2025
CPU: GenuineIntel Intel(R) Core(TM) i7-8700 CPU @ 3.20GHz
SIMD instructions: AVX AVX2 FMA SSE4.1 SSE4.2
Logical CPU cores: 12
Thread number set to 6
Output will be filtered at 0.01 FDR
Precursor/protein x samples expression level matrices will be saved along with the main report
A spectral library will be generated
N-terminal methionine excision enabled
Min peptide length set to 7
Max peptide length set to 30
Min precursor m/z set to 300
Max precursor m/z set to 1800
Min precursor charge set to 1
Max precursor charge set to 4
Min fragment m/z set to 200
Max fragment m/z set to 1800
In silico digest will involve cuts at K*,R*
Maximum number of missed cleavages set to 1
MBR enabled; .quant files will only be saved to disk during the first pass
The spectral library (if generated) will retain the original spectra but will include empirically-aligned RTs
Maximum number of variable modifications set to 2
Modification UniMod:4 with mass delta 57.0215 at C will be considered as variable
Modification DBIA:DBIA with mass delta 296.182 at C will be considered as variable
Cannot find a UniMod modification match for DBIA:DBIA: 140.081 minimal mass discrepancy; using the original modificaiton name
Mass accuracy will be fixed to 1.5e-05 (MS2) and 1e-05 (MS1)
WARNING: peptidoform scoring enabled because variable modifications have been declared; to disable, use --no-peptidoforms
The following variable modifications will be localised: UniMod:4 DBIA:DBIA
WARNING: MBR turned off, at least two files are required
1 files will be processed
[0:00] Loading spectral library D:\PXD054127\fasta_speclib\report-lib.predicted.speclib
[0:07] Library annotated with sequence database(s): C:\Users\Administrator\Desktop\fragpipe\2025-10-30-decoys-reviewed-contam-UP000005640_2.fasta
[0:08] Spectral library loaded: 40863 protein isoforms, 59253 protein groups and 8607896 precursors in 2679296 elution groups.
[0:08] Loading protein annotations from FASTA C:\Users\Administrator\Desktop\fragpipe\2025-10-30-decoys-reviewed-contam-UP000005640_2.fasta
[0:09] Annotating library proteins with information from the FASTA database
[0:09] Gene names missing for some isoforms
[0:09] Library contains 25451 proteins, and 25112 genes
[0:16] Initialising library
[0:35] Library RAM: 919MB (core), 1163MB (fragments), 161MB (names), 36MB (protein_ids), 24MB (protein