DIA-NN 2.1.0 Academia  (Data-Independent Acquisition by Neural Networks)
Compiled on Mar 25 2025 10:59:54
Current date and time: Sat May 17 23:30:33 2025
CPU: AuthenticAMD AMD Ryzen 9 5950X 16-Core Processor
SIMD instructions: AVX AVX2 FMA SSE4.1 SSE4.2 SSE4a 
Logical CPU cores: 32
diann.exe --f \\YBisei-Server\Bisei-lab\AD_MS-DATA\Ko\2.TrueFDR\250511_Revised\RawFiles\diann_dia_2.1\Mix15-16.wiff.dia  --lib \\YBisei-Server\Bisei-lab\AD_MS-DATA\Ko\2.TrueFDR\250511_Revised\250513_diann_2.1_isoform_lib\Mix-8_lib.predicted.speclib --threads 32 --verbose 1 --out \\YBisei-Server\Bisei-lab\AD_MS-DATA\Ko\2.TrueFDR\250511_Revised\250513_SearchResult_diann_2.1_isoform\Mix-8.parquet --qvalue 0.01 --matrices --out-lib \\YBisei-Server\Bisei-lab\AD_MS-DATA\Ko\2.TrueFDR\250511_Revised\250513_SearchResult_diann_2.1_isoform\Mix-8_lib.parquet --gen-spec-lib --reannotate --fasta \\YBisei-Server\Bisei-lab\AD_MS-DATA\Ko\2.TrueFDR\250511_Revised\250511_FASTA_input\clean_Mix-8.fasta --min-pep-len 7 --max-pep-len 30 --min-pr-mz 300 --max-pr-mz 1800 --min-pr-charge 1 --max-pr-charge 4 --cut K*,R* --missed-cleavages 0 --unimod4 --rt-profiling --pg-level 0 --cut  --duplicate-proteins 

Thread number set to 32
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
Library precursors will be reannotated using the FASTA database
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 0
Cysteine carbamidomethylation enabled as a fixed modification
The spectral library (if generated) will retain the original spectra but will include empirically-aligned RTs
Implicit protein grouping: isoform IDs; this determines which peptides are considered 'proteotypic' and thus affects protein FDR calculation
Duplicate proteins in FASTA files will not be skipped
DIA-NN will automatically optimise the mass accuracy for the first run of the experiment, use this mode for preliminary analyses only

1 files will be processed
[0:00] Loading spectral library \\YBisei-Server\Bisei-lab\AD_MS-DATA\Ko\2.TrueFDR\250511_Revised\250513_diann_2.1_isoform_lib\Mix-8_lib.predicted.speclib
[0:02] Library annotated with sequence database(s): \\YBisei-Server\Bisei-lab\AD_MS-DATA\Ko\2.TrueFDR\250511_Revised\250511_FASTA_input\clean_Mix-8.fasta
[0:02] Spectral library loaded: 18130 protein isoforms, 21886 protein groups and 1114496 precursors in 353481 elution groups.
[0:02] Loading FASTA \\YBisei-Server\Bisei-lab\AD_MS-DATA\Ko\2.TrueFDR\250511_Revised\250511_FASTA_input\clean_Mix-8.fasta
[0:07] Reannotating library precursors with information from the FASTA database
[0:08] Finding proteotypic peptides (assuming that the list of UniProt ids provided for each peptide is complete)
[0:08] 1114496 precursors generated
[0:08] Protein names missing for some isoforms
[0:08] Gene names missing for some isoforms
[0:08] Library contains 0 proteins, and 0 genes
[0:08] Initialising library

[0:11] File #1/1
[0:11] Loading run \\YBisei-Server\Bisei-lab\AD_MS-DATA\Ko\2.TrueFDR\250511_Revised\RawFiles\diann_dia_2.1\Mix15-16.wiff.dia
[0:26] Pre-processing...
[0:28] 1704 MS1 and 124392 MS2 scans in 1704 (inferred) and 1704 (encoded) cycles, 981072 precursors in range
[0:29] Calibrating with mass accuracies 25 (MS1), 25 (MS2)
[1:07] RT window set to 4.9569
[1:07] Peak width: 3.096
[1:07] Scan window radius set to 6
[1:07] Recommended MS1 mass accuracy setting: 31 ppm
[3:18] Optimised mass accuracy: 31 ppm
[4:03] Main search
[5:31] Removing low confidence identifications
[5:33] Removing interfering precursors
[5:34] Training neural networks on 37044 target and 23371 decoy PSMs
[5:50] Number of IDs at 0.01 FDR: 15872
[5:50] Calculating protein q-values
[5:50] Number of protein isoforms identified at 1% FDR: 1967 (precursor-level), 1829 (protein-level) (inference performed using proteotypic peptides only)
[5:50] Quantification
[5:52] Quantification information saved to \\YBisei-Server\Bisei-lab\AD_MS-DATA\Ko\2.TrueFDR\250511_Revised\RawFiles\diann_dia_2.1\Mix15-16.wiff.dia.quant

[5:52] Cross-run analysis
[5:52] Reading quantification information: 1 files
[5:54] Quantifying peptides
[5:54] Assembling protein groups
[5:54] Quantifying proteins
[5:54] Calculating q-values for protein and gene groups
[5:54] Calculating global q-values for protein and gene groups
[5:54] Protein groups with global q-value <= 0.01: 1879
[5:54] Compressed report saved to \\YBisei-Server\Bisei-lab\AD_MS-DATA\Ko\2.TrueFDR\250511_Revised\250513_SearchResult_diann_2.1_isoform\Mix-8.parquet. Use R 'arrow' or Python 'PyArrow' package to process
[5:54] Saving precursor levels matrix
[5:54] Precursor levels matrix (1% precursor and protein group FDR) saved to \\YBisei-Server\Bisei-lab\AD_MS-DATA\Ko\2.TrueFDR\250511_Revised\250513_SearchResult_diann_2.1_isoform\Mix-8.pr_matrix.tsv.
[5:54] Saving protein group levels matrix
[5:54] Protein groups matrix saved to \\YBisei-Server\Bisei-lab\AD_MS-DATA\Ko\2.TrueFDR\250511_Revised\250513_SearchResult_diann_2.1_isoform\Mix-8.pg_matrix.tsv.
[5:54] Saving gene group levels matrix
[5:54] Gene groups matrix saved to \\YBisei-Server\Bisei-lab\AD_MS-DATA\Ko\2.TrueFDR\250511_Revised\250513_SearchResult_diann_2.1_isoform\Mix-8.gg_matrix.tsv.
[5:54] Saving unique genes levels matrix
[5:54] Unique genes matrix saved to \\YBisei-Server\Bisei-lab\AD_MS-DATA\Ko\2.TrueFDR\250511_Revised\250513_SearchResult_diann_2.1_isoform\Mix-8.unique_genes_matrix.tsv.
[5:55] Manifest saved to \\YBisei-Server\Bisei-lab\AD_MS-DATA\Ko\2.TrueFDR\250511_Revised\250513_SearchResult_diann_2.1_isoform\Mix-8.manifest.txt
[5:55] Stats report saved to \\YBisei-Server\Bisei-lab\AD_MS-DATA\Ko\2.TrueFDR\250511_Revised\250513_SearchResult_diann_2.1_isoform\Mix-8.stats.tsv
[5:55] Generating spectral library:
[5:55] 15871 target and 158 decoy precursors saved
[5:55] Spectral library saved to \\YBisei-Server\Bisei-lab\AD_MS-DATA\Ko\2.TrueFDR\250511_Revised\250513_SearchResult_diann_2.1_isoform\Mix-8_lib.parquet