https://doi.org/10.7490/f1000research.1118252.1
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Mehta S, McGowan T, Johnson JE et al. Evaluating customized database generation methods for metaproteomics analysis. [version 1; not peer reviewed]. F1000Research 2020, 9:993 (poster) (https://doi.org/10.7490/f1000research.1118252.1)
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Evaluating customized database generation methods for metaproteomics analysis.

Subina Mehta1, Thomas McGowan, James. E Johnson, Praveen Kumar, Ray Sajulga, Magnus Arntzen, Francesco Delogu, Marie Crane, Peter. S Thuy-Boun, Dennis. W Wolan, Timothy. J Griffin, Pratik. D Jagtap1
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Published 17 Aug 2020

Evaluating customized database generation methods for metaproteomics analysis.

[version 1; not peer reviewed]

Subina Mehta1, Thomas McGowan, James. E Johnson, Praveen Kumar, Ray Sajulga, Magnus Arntzen, Francesco Delogu, Marie Crane, Peter. S Thuy-Boun, Dennis. W Wolan, Timothy. J Griffin, Pratik. D Jagtap1
Author Affiliations
1 University of Minnesota, USA
Presented at
Bioinformatics Community Conference (BCC 2020)
Abstract
Competing Interests

No competing interests were disclosed

Keywords
Metaproteomics, Galaxy platform, database generation, taxonomy, functional annotation
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