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ZENODO
Software . 2020
License: CC BY
Data sources: Datacite
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Software . 2020
License: CC BY
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Oral Signature Screening Database for Palaeoproteomic Analyses of Dental Calculus

Authors: Bleasdale, Madeleine; Boivin, Nicole; Richter, Kristine Korzow;

Oral Signature Screening Database for Palaeoproteomic Analyses of Dental Calculus

Abstract

As the proteomic analysis of dietary peptides retrieved from archaeological materials becomes more common, new methods of authentication need to be considered. Here we present an oral signature screening database (hereafter OSSD) developed specifically for ancient dental calculus. By using the OSSD as a first screening step we hope it can help users quickly identify problematic samples as well as those which could potentially be good candidates for endogenous dietary proteins. The raw data can be found on MassIVE (record number: MSV000086557; doi:10.25345/C5PR4T) Please see the documentation for more information about the database and its use. Version History: v.0 is just one FASTA file with all of the proteins including several dairy proteins. v.1.0 contains FASTA files for the different components (lab contaminants, common contaminants, oral microbiome proteins, and human immune response proteins) as well as a complete FASTA file which contains all of the proteins together. Dietary proteins are not included in this version. The documentation also contains the corrected link to the data on MassIVE.

Keywords

Dental calculus, Archaeology, Palaeoproteomics, Oral microbiome

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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