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Getting started with genome-sampler

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.

References
  1. 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
  2. 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