Thanks for your interest in genome-sampler
!
This page is main entry point into the genome-sampler
documentation.
After reading this documentation, you’ll know how to install and use genome-sampler
and where to turn if you need help.
Getting started with genome-sampler
¶
Installation instructions for genome-sampler
are available in our Installation.
To learn how to use genome-sampler
you can work through our Step-by-step tutorial after installing or refer to the Plugin Overview.
Getting help¶
If you need technical support, please post a question to the QIIME 2 Forum.
If genome-sampler
is missing a feature that would be helpful for your work, please post to the GitHub issue tracker.
Licensing and source code¶
genome-sampler
is open-source and free for all use, including commercial.
Software and unit tests are available in our GitHub repository under the BSD 3-clause license.
About genome-sampler
¶
genome-sampler
is built on the QIIME 2 Framework (Q2F).
Q2F offers useful features for bioinformatics software, including that it ensures reproducible bioinformatics and is accessible through different types of interfaces.
Learn more about the QIIME 2 Framework (Q2F) at https://qiime2.org.
genome-sampler
’s documentation is written using Myst and rendered using Jupyter Book 2.
genome-sampler
is primarily developed in the Caporaso Lab at Northern Arizona University.
Citing genome-sampler
¶
If you use genome-sampler
in published work, we ask that you cite our paper Bolyen et al., 2020.
The primary workflow implemented in genome-sampler
also makes extensive use of vsearch
Rognes et al., 2016, so you should also cite that in your published work.
If you use other components of QIIME 2 (as discussed in ) you may end up using other tools that need to be cited.
If you load a .qza
or .qzv
file with QIIME 2 View, you can obtain a list of the papers you should cite under the Details tab in Bibtex format.
- Bolyen, E., Dillon, M. R., Bokulich, N. A., Ladner, J. T., Larsen, B. B., Hepp, C. M., Lemmer, D., Sahl, J. W., Sanchez, A., Holdgraf, C., Sewell, C., Choudhury, A. G., Stachurski, J., McKay, M., Engelthaler, D. M., Worobey, M., Keim, P., & Gregory Caporaso, J. (2020). Reproducibly sampling SARS-CoV-2 genomes across time, geography, and viral diversity. F1000 Research, 9(657), 657. 10.12688/f1000research.24751.1
- Rognes, T., Flouri, T., Nichols, B., Quince, C., & Mahé, F. (2016). VSEARCH: a versatile open source tool for metagenomics. PeerJ, 4, e2584. 10.7717/peerj.2584