Published February 23, 2023 | Version v0.0.1
Workflow Open

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 by the U.S. Department of Energy (DOE) Office of Biological and Environmental Research (BER), as part of the Genomic Science Program Secure Biosystems Design Science Focus Area Project: Persistence Control of Engineered Functions in Complex Soil Microbiomes (PerCon SFA) as a contribution of Pacific Northwest National Laboratory (PNNL). PNNL is a multiprogram national laboratory operated by Battelle for the DOE under Contract No. DE-AC05-76RL01830.

Notes (En)

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

Files

Snekmer-KBase-App-main.zip

Files (78.6 MB)

Name Size Download all
md5:ddcbfa62d5f6c28bce463471a0771106
78.6 MB Preview Download

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