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