Published February 23, 2023 | Version v0.0.1
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PerCon SFA Snekmer KBase Narrative App

Contributors

  • 1. ROR icon Pacific Northwest National Laboratory

Description

The Snekmer KBase App is an extension toolkit that allows for running supervised modeling and unsupervised clustering from protein family scores and/or searching unknown sequences for protein families using the Snekmer workflow within the KBase narrative user interface.

 

Federal Acknowledgements

This research was supported in part by the U.S. Department of Energy (DOE), Office of Biological and Environmental Research (BER), as part of the Genomic Science Program (GSP) as a contribution of the Pacific Northwest National Laboratory (PNNL) Secure Biosystems Design Science Focus Area: Persistence Control of Engineered Functions in Complex Soil Microbiomes (PerCon SFA). Pacific Northwest National Laboratory (PNNL) is a multiprogram national laboratory managed by the Battelle Memorial Institute Battelle Memorial Institute, operating under the U.S. Department of Energy, Contract DE-AC05-76RL01830. 

Notes (En)

Requires knowledgeable usage and workflow literacy of Snekmer software package listed under references.

Files

Snekmer-KBase-App-main.zip

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Additional details

Related works

Software

Repository URL
https://github.com/PerConSFA/Snekmer-KBase-App
Programming language
Python

References

  • McDermott, J. E., Chang, C. H., Jerger, A., Nelson, W. B., & Jacobson, J. R. (2023). Snekmer: A scalable pipeline for protein sequence fingerprinting using amino acid recoding (AAR) (v1.0.4). Zenodo. https://doi.org/10.5281/zenodo.7662597
  • Christine H Chang, William C Nelson, Abby Jerger, Aaron T Wright, Robert G Egbert, Jason E McDermott, Snekmer: a scalable pipeline for protein sequence fingerprinting based on amino acid recoding, Bioinformatics Advances, Volume 3, Issue 1, 2023, vbad005, https://doi.org/10.1093/bioadv/vbad005