OVNIp

OVNIp integrates mass spectrometry (MS and MS/MS) search-engine and database results with de novo peptide sequencing and MS-BLAST searches to support protein identification in organisms with unsequenced genomes.


Key Features:

  • Integration of multiple search engines and databases: Aggregates and reconciles results from diverse MS search engines and sequence databases to resolve conflicting peptide-spectrum assignments.
  • Automated de novo sequence exploitation: Extracts and processes de novo peptide sequences from unassigned MS/MS spectra to increase sequence coverage and identify peptides absent from reference databases.
  • MS-BLAST search of de novo sequences: Submits de novo-derived peptide sequences to MS-BLAST to detect homologous proteins and potential novel matches.
  • Customizable reporting: Produces detailed, user-defined reports summarizing aggregated identifications, de novo results, and confidence metrics for downstream analysis or publication.

Scientific Applications:

  • Proteomics of non-sequenced organisms: Supports protein identification and annotation when reference genomes are unavailable or incomplete.
  • Validation of protein identifications: Cross-validates peptide-spectrum matches across multiple search engines and de novo evidence to increase confidence in identifications.
  • Novel protein discovery: Facilitates detection of novel or divergent proteins through de novo sequencing and homology searches.

Methodology:

Aggregation and reconciliation of search-engine and database outputs, automated de novo peptide sequencing from unassigned MS/MS spectra, and MS-BLAST homology searches of de novo sequences.

Topics

Collections

Details

Tool Type:
desktop application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Java
Added:
8/3/2017
Last Updated:
3/26/2019

Operations

Publications

Tessier D, et al. OVNIp: an open source application facilitating the interpretation, the validation and the edition of proteomics data generated by MS analyses and de novo sequencing. Proteomics. 2010; 10:1794-801. doi: 10.1002/pmic.200800783

PMID: 20198638

Documentation

Links