Citing

You can also access metadata to cite hstrat in our CITATION.cff file here. Formatted citations were generated via https://bibtex.online.

Software

Please cite hstrat software as

bibtex:

@article{moreno2022hstrat,
  doi = {10.21105/joss.04866},
  url = {https://doi.org/10.21105/joss.04866},
  year = {2022},
  publisher = {The Open Journal},
  volume = {7},
  number = {80},
  pages = {4866},
  author = {Matthew Andres Moreno and Emily Dolson and Charles Ofria},
  title = {hstrat: a Python Package for phylogenetic inference on distributed digital evolution populations},
  journal = {Journal of Open Source Software}
}

APA:

Moreno, M. A., Dolson, E., & Ofria, C. (2022). hstrat: A Python Package for Phylogenetic Inference on Distributed Digital Evolution Populations. Journal of Open Source Software, 7(80), 4866. https://doi.org/10.21105/joss.04866

Chicago:

Moreno, Matthew Andres, Emily Dolson, and Charles Ofria. “hstrat: A Python Package for Phylogenetic Inference on Distributed Digital Evolution Populations.” Journal of Open Source Software 7, no. 80 (2022): 4866. https://doi.org/10.21105/joss.04866.

MLA:

Moreno, Matthew Andres et al. “hstrat: A Python Package for Phylogenetic Inference on Distributed Digital Evolution Populations.” Journal of Open Source Software 7.80 (2022): 4866. https://doi.org/10.21105/joss.04866.

If you use a “surface” data structure to store genome annotations, please also cite downstream as it provides underlying algorithm implementations for this feature.

If you use phyloinformatics tools (e.g., alifestd dataframe operations), please also cite phyloframe as it provides the underlying implementations for these features.

Methodology

Please cite hereditary stratigraphy methodology as

bibtex:

@inproceedings{10.1162/isal_a_00550,
  author = {Moreno, Matthew Andres and Dolson, Emily and Ofria, Charles},
  title = "{Hereditary Stratigraphy: Genome Annotations to Enable Phylogenetic Inference over Distributed Populations}",
  volume = {ALIFE 2022: The 2022 Conference on Artificial Life},
  series = {ALIFE 2022: The 2022 Conference on Artificial Life},
  year = {2022},
  month = {07},
  booktitle = {Artificial Life Conference Proceedings},
  doi = {10.1162/isal_a_00550},
  url = {https://doi.org/10.1162/isal\_a\_00550},
  note = {64},
  eprint = {https://direct.mit.edu/isal/proceedings-pdf/isal/34/64/2035363/isal\_a\_00550.pdf},
}

APA:

Moreno, M., Dolson, E., & Ofria, C. (2022). Hereditary Stratigraphy: Genome Annotations to Enable Phylogenetic Inference over Distributed Populations. In Artificial Life Conference Proceedings. https://doi.org/10.1162/isal_a_00550

Chicago:

Moreno, Matthew Andres, Emily, Dolson, and Charles, Ofria. “Hereditary Stratigraphy: Genome Annotations to Enable Phylogenetic Inference over Distributed Populations.” In Artificial Life Conference Proceedings. 2022. https://doi.org/10.1162/isal_a_00550

MLA:

Moreno, Matthew Andres et al. “Hereditary Stratigraphy: Genome Annotations to Enable Phylogenetic Inference over Distributed Populations.” Artificial Life Conference Proceedings. 2022. https://doi.org/10.1162/isal_a_00550