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

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Gaps and Runs in Syntenic Alignmentstural roles, compensating for the energy and material costs of gene complement expansion..A type of gene loss widespread in the lineages of plant genomes is “fractionation” after whole genome doubling or tripling, where one of a pair or triplet of paralogous genes in parallel syntenic contexts is di

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Comparing Integer Linear Programming to SAT-Solving for Hard Problems in Computational and Systems Br, intricate algorithms for each specific problem. Integer Linear Programming is the most widely-used such general-purpose solution method. It is successful in a wide range of problems. However, there are some problems in computational biology where integer linear programming has had only limited su

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Combining Networks Using Cherry Picking Sequencesnly reconstruct small networks. To find bigger networks, one can attempt to combine small networks. In this paper, we study the . problem, a problem of combining networks into another network with low complexity. We characterize this complexity via a restricted problem, ., and we present an FPT algo

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PathOGiST: A Novel Method for Clustering Pathogen Isolates by Combining Multiple Genotyping Signalsng 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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