A k-mer-based method for the identification of phenotype-associated genomic biomarkers and predicting phenotypes of sequenced bacteria
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DOI: 10.1371/journal.pcbi.1006434
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- John A. Lees & Minna Vehkala & Niko Välimäki & Simon R. Harris & Claire Chewapreecha & Nicholas J. Croucher & Pekka Marttinen & Mark R. Davies & Andrew C. Steer & Steven Y. C. Tong & Antti Honkela & J, 2016. "Sequence element enrichment analysis to determine the genetic basis of bacterial phenotypes," Nature Communications, Nature, vol. 7(1), pages 1-8, November.
- Nicole E Wheeler & Paul P Gardner & Lars Barquist, 2018. "Machine learning identifies signatures of host adaptation in the bacterial pathogen Salmonella enterica," PLOS Genetics, Public Library of Science, vol. 14(5), pages 1-20, May.
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- Danesh Moradigaravand & Martin Palm & Anne Farewell & Ville Mustonen & Jonas Warringer & Leopold Parts, 2018. "Prediction of antibiotic resistance in Escherichia coli from large-scale pan-genome data," PLOS Computational Biology, Public Library of Science, vol. 14(12), pages 1-17, December.
- Carlo Viti & Agnese Bellabarba & Matteo Daghio & Alessio Mengoni & Marcello Mele & Arianna Buccioni & Gaio Cesare Pacini & Abdelkader Bekki & Khalid Azim & Majida Hafidi & Francesco Pini, 2021. "Alfalfa for a Sustainable Ovine Farming System: Proposed Research for a New Feeding Strategy Based on Alfalfa and Ecological Leftovers in Drought Conditions," Sustainability, MDPI, vol. 13(7), pages 1-13, April.
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