Quick Start Guide
This guide will get you analyzing mass spectra with SynapSpec in just a few minutes.
Prerequisites
Make sure you have SynapSpec installed before continuing.
Your First Analysis
Option 1: Using the GUI
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
-
From Home, click New Analysis to open the four-step wizard.
-
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
-
Step 2 — Method: review and adjust the library generation, FDR, and general settings.
-
Step 3 — Output: choose your Output Directory (Required) and the output format (CSV, TSV, or Parquet).
-
Step 4 — Review: check the summary, then click Run Now to start immediately, or Add to Queue to run it after the current analysis.
-
Track progress and results from the Runs page. Results are automatically exported to the output directory in your configured format (CSV, TSV, or Parquet).
Option 2: Using the CLI
Create a basic configuration yaml file:
ms_files:
- sample_raw_file.raw
general:
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: false
Run the analysis:
synapspec run config.yaml
Note: For detailed CLI installation and usage instructions for each platform, see the CLI Tutorial.
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.