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Firstly, I would like to express my gratitude for developing an exceptional software tool. I encountered an issue while attempting to predict spectral information with a 2.83GB sequence file, as DIA-NN failed to execute successfully. Could you please advise on what might be causing this problem and how I can resolve it?
Here is the detailed process of my attempt:
Skyline found: Skyline (64 bit) 24.1.0.199
MSFileReader not found, Thermo .raw data processing unavailable
DIA-NN 1.9.2 (Data-Independent Acquisition by Neural Networks)
Compiled on Oct 17 2024 21:58:43
Current date and time: Fri Dec 6 10:26:25 2024
CPU: AuthenticAMD AMD Ryzen 7 6800H with Radeon Graphics
SIMD instructions: AVX AVX2 FMA SSE4.1 SSE4.2 SSE4a
Logical CPU cores: 16
Thread number set to 8
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
Deep learning will be used to generate a new in silico spectral library from peptides provided
DIA-NN will carry out FASTA digest for in silico lib generation
Min fragment m/z set to 200
Max fragment m/z set to 1800
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
In silico digest will involve cuts at K*,R*
Maximum number of missed cleavages set to 1
Cysteine carbamidomethylation enabled as a fixed modification
A spectral library will be created from the DIA runs and used to reanalyse them; .quant files will only be saved to disk during the first step
Heuristic protein grouping will be used, to reduce the number of protein groups obtained; this mode is recommended for benchmarking protein ID numbers, GO/pathway and system-scale analyses
The spectral library (if generated) will retain the original spectra but will include empirically-aligned RTs
WARNING: MBR turned off, two or more raw files are required
0 files will be processed
[0:00] Loading FASTA F:\1_Darkprotein\Input\uniprotkb_human_2024_12_02.fasta
[124:55] Processing FASTA
[126:48] Assembling elution groups
DIA-NN exited
Best regards,
Zhang
The text was updated successfully, but these errors were encountered:
Dear Vadim,
Firstly, I would like to express my gratitude for developing an exceptional software tool. I encountered an issue while attempting to predict spectral information with a 2.83GB sequence file, as DIA-NN failed to execute successfully. Could you please advise on what might be causing this problem and how I can resolve it?
Here is the detailed process of my attempt:
Skyline found: Skyline (64 bit) 24.1.0.199
MSFileReader not found, Thermo .raw data processing unavailable
Command line used:
DIA-NN 1.9.2 (Data-Independent Acquisition by Neural Networks)
Compiled on Oct 17 2024 21:58:43
Current date and time: Fri Dec 6 10:26:25 2024
CPU: AuthenticAMD AMD Ryzen 7 6800H with Radeon Graphics
SIMD instructions: AVX AVX2 FMA SSE4.1 SSE4.2 SSE4a
Logical CPU cores: 16
Thread number set to 8
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
Deep learning will be used to generate a new in silico spectral library from peptides provided
DIA-NN will carry out FASTA digest for in silico lib generation
Min fragment m/z set to 200
Max fragment m/z set to 1800
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
In silico digest will involve cuts at K*,R*
Maximum number of missed cleavages set to 1
Cysteine carbamidomethylation enabled as a fixed modification
A spectral library will be created from the DIA runs and used to reanalyse them; .quant files will only be saved to disk during the first step
Heuristic protein grouping will be used, to reduce the number of protein groups obtained; this mode is recommended for benchmarking protein ID numbers, GO/pathway and system-scale analyses
The spectral library (if generated) will retain the original spectra but will include empirically-aligned RTs
WARNING: MBR turned off, two or more raw files are required
0 files will be processed
[0:00] Loading FASTA F:\1_Darkprotein\Input\uniprotkb_human_2024_12_02.fasta
[124:55] Processing FASTA
[126:48] Assembling elution groups
DIA-NN exited
Best regards,
Zhang
The text was updated successfully, but these errors were encountered: