Sphae: an automated toolkit for predicting phage therapy candidates from sequencing data

Sphae source code is freely available at https://github.com/linsalrob/sphae, with installation supported on Conda, PyPi, Docker containers.

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Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf004
Citations
13
Primary Topic
Bacteriophages and microbial interactions
Type
article
Field-Weighted Citation Impact
5.97

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article

Sphae: an automated toolkit for predicting phage therapy candidates from sequencing data

Cole Souza, Vijini Mallawaarachchi, Susanna R. Grigson, Michael J. Roach et al.
13 citations
Bioinformatics Advances
Bacteriophages and microbial interactions
5.97
article

Sphae: an automated toolkit for predicting phage therapy candidates from sequencing data

Cole Souza, Vijini Mallawaarachchi, Susanna R. Grigson, Michael J. Roach, Bhavya Papudeshi, Laura K. Inglis, Sarah K. Giles, Robert A. Edwards, George Bouras, Clarice Harker, Anca Mara Segall, Lance Boling, Elizabeth A. Dinsdale, Alejandro A. Vega, Ana G. Cobián-Güemes, Abbey Hutton, Hamza Hajama, A.B. Tarasenko
article en
13 citations

Abstract

Sphae source code is freely available at https://github.com/linsalrob/sphae, with installation supported on Conda, PyPi, Docker containers.

Bioinformatics AdvancesVol. 5(1)
University of San Diego (US), University of California, Los Angeles (US), Flinders University (AU), San Diego State University (US), University of California San Diego (US), Basil Hetzel Institute (AU), Adelaide Institute for Sleep Health (AU), The University of Adelaide (AU)
National Computational Infrastructure, Australian Government, Flinders University, Australian Research Data Commons, National Institutes of Health, National Cancer Institute, National Institute of Diabetes and Digestive and Kidney Diseases
Openalex Percentile: Top 4%
Bacteriophages and microbial interactions
5.97
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