Titlebook: Algorithms for Computational Biology; 7th International Co Carlos Martín-Vide,Miguel A. Vega-Rodríguez,Travis Conference proceedings 2020 S

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Produktionsdaten im Stolba-Familienstall,l-being. However, such datasets are large in volume, and retrieving meaningful information from them is often challenging. Hence, different indexing techniques and data structures have been proposed to handle such a massive scale of data. We utilize one such technique: Generalized Suffix Tree (GST).

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Pander

https://doi.org/10.1007/978-3-8349-6980-4ng methods for this problem mainly use a single genotyping signal, and either use a distance-based method with a pre-specified number of clusters, or a phylogenetic tree-based method with a pre-specified threshold. We propose PathOGiST, an algorithmic framework for clustering bacterial isolates by l

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