Info: Zenodo’s user support line is staffed on regular business days between Dec 23 and Jan 5. Response times may be slightly longer than normal.

Published February 23, 2023 | Version v1.0.0
Workflow Open

PerCon SFA Snekmer KBase Narrative App

  • 1. Pacific Northwest National Laboratory [ROR:05h992307]

Contributors

  • 1. Pacific Northwest National Laboratory [ROR:05h992307]

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. 

Disclaimer: This material was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor the United States Department of Energy, nor Battelle, nor any of their employees, nor any jurisdiction or organization that has cooperated in the development of these materials, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness or any information, apparatus, product, software, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof, or Battelle Memorial Institute. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. PACIFIC NORTHWEST NATIONAL LABORATORY operated by BATTELLE for the UNITED STATES DEPARTMENT OF ENERGY under Contract DE-AC05-76RL01830.

Notes

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

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

Is derived from
Software: 10.5281/zenodo.7662597 (DOI)
Is documented by
Workflow: https://narrative.kbase.us/#catalog/modules/Snekmer (URL)
Requires
Software: https://github.com/kbase/kb_sdk (URL)

References

  • 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