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Detecting outliers in segmented genomes of flu virus using an alignment-free approach
In this paper, we propose a new approach to detecting outliers in a set of segmented genomes of the flu virus, a data set with a heterogeneous set of sequences. The approach has the following computational phases: feature extraction, which is a mapping into feature space, alignment-free distance mea...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Korea Genome Organization
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7120353/ https://www.ncbi.nlm.nih.gov/pubmed/32224835 http://dx.doi.org/10.5808/GI.2020.18.1.e2 |