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

Optimisation and refinement

Parsing

Other operations do not define inputs or 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.

PMID: 38932690
Funding: - HORIZON EUROPE European Research Council: 101077640 - Exacte en Natuurwetenschappen: 024.002.009

Downloads

Links