Journal of Proteome ResearchBioinformaticsPeer-reviewed journal article
ProteoParc: A tool to generate protein reference databases for ancient and non-model organisms
Guillermo Carrillo-MartiniD, Johanna KruegeriD, Tomàs Marquès‐BonetiD, Esther LizanoiD
Abstract
Over the last few years, the increasing interest in analysing the proteome of extinct and non-model organisms has generated a new field of research expanding the scope of proteomics. The lack of curated databases and/or molecular data from these organisms forces researchers to manually search in different public repositories for related protein sequences, either for MS/MS peptide identification or ZooMS marker annotation. This can lead to format incongruences and hinder reproducibility between studies. To address this issue, we introduce ProteoParc, a user-friendly software that generates reference databases by systematically downloading and processing protein sequences from the most widely used public repositories. The pipelines output is a non-redundant protein database, formatted to be interpreted by typical peptide identification software. Moreover, the user can adjust the database dimension and composition by applying different criteria to include only a certain number of genes or species. Thus, ProteoParc is an easy and fast, custom-made bioinformatic tool useful for future paleoproteomics analysis in ancient samples related to understudied organisms.
- assay: proteomics
- research focus: database / resource
- research focus: benchmarking
- approach: statistical model
- approach: machine learning (classical)
- Citations
- 0
- FWCI
- 0.00
- Field percentile
- 44th percentile
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