Stitch
Stitch performs template-based assembly of proteomics short reads to enable de novo antibody sequencing and antibody repertoire profiling.
Key Features:
- Template-based assembly: Assembles proteomics short reads against templates to reconstruct complete antibody sequences.
- Mass-based alignment algorithm: Uses a mass-based alignment that explicitly accounts for mass coincidence errors to improve peptide sequence assembly accuracy.
- Isobaric residue assignment: Applies a postprocessing procedure using secondary fragments (satellite ions, e.g., w-ions) to distinguish leucine (L) and isoleucine (I).
- Expanded input compatibility: Accepts de novo peptide sequencing outputs from Casanovo, PEAKS, Novor.Cloud, pNovo, and MaxNovo, as well as flat text and FASTA formats.
- Integrated spectrum viewer: Provides spectrum visualization to evaluate and validate evidence for sequence assignments.
Scientific Applications:
- De novo antibody sequencing: Reconstruction of antibody amino acid sequences directly from bottom-up proteomics data.
- Antibody repertoire profiling: Profiling of antibody sequence diversity within samples using assembled peptide reads.
- Immunological research and vaccine development: Accurate antibody characterization to inform immunology studies and vaccine design.
- Therapeutic antibody design and characterization: Support for precise sequence determination relevant to therapeutic antibody development.
Methodology:
Template-based assembly of proteomics short reads, a mass-based alignment algorithm accounting for mass coincidence errors, postprocessing for L/I assignment using satellite (w-) ions, support for inputs from Casanovo, PEAKS, Novor.Cloud, pNovo, MaxNovo, flat text and FASTA, and spectrum visualization for validation.
Details
- License:
- MIT
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Windows, Linux, Mac
- Programming Languages:
- C#
- Added:
- 7/17/2024
- Last Updated:
- 7/18/2024
Operations
Data Inputs & Outputs
Sequence assembly
Outputs
Optimisation and refinement
Outputs
Parsing
Outputs
Publications
Schulte D, Snijder J. A Handle on Mass Coincidence Errors in <i>De Novo</i> Sequencing of Antibodies by Bottom-up Proteomics. Journal of Proteome Research. 2024;23(8):3552-3559. doi:10.1021/acs.jproteome.4c00188. PMID:38932690. PMCID:PMC11301774.
Downloads
- Downloads pageVersion: 1.5.0https://github.com/snijderlab/stitch/releases/tag/v1.5.0