sierra-local: A lightweight standalone application for drug resistance prediction

Python R Submitted 26 November 2018Published 25 January 2019
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Editor: @pjotrp (all papers)
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Authors

Jasper C. Ho (0000-0003-0693-8940), Garway T. Ng, Mathias Renaud, Art F. y. Poon (0000-0003-3779-154X)

Citation

Ho et al., (2019). sierra-local: A lightweight standalone application for drug resistance prediction. Journal of Open Source Software, 4(33), 1186, https://doi.org/10.21105/joss.01186

@article{Ho2019, doi = {10.21105/joss.01186}, url = {https://doi.org/10.21105/joss.01186}, year = {2019}, publisher = {The Open Journal}, volume = {4}, number = {33}, pages = {1186}, author = {Jasper C. Ho and Garway T. Ng and Mathias Renaud and Art F. y. Poon}, title = {sierra-local: A lightweight standalone application for drug resistance prediction}, journal = {Journal of Open Source Software} }
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bioinformatics HIV/AIDS drug resistance sequence analysis clinical virology

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ISSN 2475-9066