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Peptizer 1.8.4
Rule-based peptide identification validationPeptizer helps proteomics researchers automate manual validation of peptide identifications generated from MS/MS data. Users create a rule set by enabling Agent objects, each of which checks an assumption based on expert knowledge. Peptizer aggregates the agents' evaluations to separate identifications according to the selected rules, making large result sets easier to review systematically.
Peptizer 1.8.4 details
| Author: | Kenny Helsens |
| License: | Freeware |
| Price: | FREE |
| Released: | Aug 15, 2013 |
| File size: | 30.60 MB |
| Downloads: | 226 |
| Keywords: | Kenny Helsens, automated peptide validation, large-scale proteomic endeavors, mass spectrometry peptide tools, peptide identification validation, automization, Proteomics tool, Peptizer, Windows 10, peptizer, Google code project, automize, automize manual validation, manual validation automization, proteomics validation software, x64 software, ms/ms peptide analysis |
| Author URL: | http://code.google.com/p/peptizer/ |
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Peptizer for Windows 10 - Full description
Peptizer is a scientific application for automating the manual validation of peptide identifications produced from tandem mass spectrometry (MS/MS) data. It is intended for proteomics researchers who need to review identification results using expert knowledge, particularly when the number of results makes individual manual checks impractical. The program applies configurable rules to help organize peptide identifications according to their validation outcomes.
Its rule system is built from Agent objects. Each enabled agent inspects an assumption about an identification using a rule based on expert knowledge. Researchers can select a set of agents to define the criteria used in an analysis, rather than relying on a single check. This approach turns parts of the review process into repeatable evaluations that can be applied across a larger set of peptide identifications.
After the agents inspect the identifications, Peptizer aggregates their results. The combined rule evaluations can then be used to separate identifications into groups, helping researchers distinguish results according to the chosen criteria. This provides a structured way to apply multiple expert-derived checks and focus attention on results that warrant further review.
The software is suited to proteomics workflows in which MS/MS-driven peptide identification results require validation at scale. It supports the use of expert knowledge in a more systematic process, reducing dependence on reviewing every identification individually while keeping the validation criteria defined by the user. The rule-based approach is useful when researchers want to apply consistent checks to a collection of results.
Peptizer is freeware developed by Kenny Helsens. Its purpose is specialized rather than general-purpose: it focuses on rule-based validation and grouping of peptide identifications, not on acquiring mass-spectrometry data or performing general laboratory management. The available platform information identifies earlier Windows releases; it does not establish compatibility with current Windows versions.