Quick Start
This guide will get you analyzing mass spectra with SynapSpec in just a few minutes.
Prerequisites
Section titled “Prerequisites”Make sure you have SynapSpec installed before continuing.
Your First Analysis
Section titled “Your First Analysis”Launch the graphical interface by double-clicking the SynapSpec application icon:
- Windows: Double-click
SynapSpec.exein the installation folder - macOS: Double-click
SynapSpecin Applications folder
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From Home, click New Analysis to open the four-step wizard.
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Step 1 — Files: select your mass spectrometry data and a sequence database.
- MS Files (Required): click
Select Input Filesand choose your data (.raw or .mzML) - FASTA Files (Optional): select a FASTA file for protein sequence database search
- Note: Either FASTA Files or Library File should be provided
- Library File (Optional): select a spectral library file (.tsv or .txt) for library search
- Note: Either FASTA Files or Library File should be provided
- MS Files (Required): click
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Step 2 — Method: review and adjust the library generation, FDR, and general settings.
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Step 3 — Output: choose your Output Directory (Required) and the output format (CSV, TSV, or Parquet).
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Step 4 — Review: check the summary, then click Run Now to start immediately, or Add to Queue to run it after the current analysis.
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Track progress and results from the Runs page. Results are automatically exported to the output directory in your configured format (CSV, TSV, or Parquet).
Create a basic configuration yaml file:
ms_files: - sample_raw_file.rawgeneral: run_mbr: false use_hardware_acceleration: false
library: library_file: your_library.ddb fasta_files: - human.fasta - contaminants.fasta enzyme: trypsin/p fixed_modifications: Carbamidomethyl@C variable_modification: Oxidation@M;Acetyl@Protein_N-term missed_cleavages: 1 precursor_length_range: [7, 35] precursor_charge_range: [2, 4] fragment_types: b;y
fdr: fdr: 0.01 keep_decoys: false
output_directory: output
search_output: min_correlation: 0.9 file_format: tsv peptide_level_lfq: false precursor_level_lfq: falseRun the analysis:
synapspec run config.yamlResult Files
Section titled “Result Files”- pg.matrix: Protein group quantification matrix containing abundance values across samples
- stats: Statistical analysis results including precursors, proteins, ms1, ms2 errors
- precursor: Precursor level ion identification and quantification data
- fragment: Fragment level ion information and matching scores
All files are available in your chosen format (CSV, TSV, or Parquet) as configured in the Output step.