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Titlebook: Algorithms in Bioinformatics; 16th International W Martin‘Frith,Christian Nørgaard Storm Pedersen Conference proceedings 2016 Springer Inte

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https://doi.org/10.1007/978-3-86226-343-1 of such analysis is a reduction to a maximum-weight connected subgraph problem. In particular, in analysis of metabolic networks a generalized maximum-weight connected subgraph (GMWCS) problem, where both nodes and edges are scored, naturally arises. Here we present the first to our knowledge pract
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Thomas Schumacher Dipl.-Soz.päd. (BA), (MA) the model are well understood, but formulating and implementing efficient inference methods remains a challenge. A major breakthrough has been to approximate the coalescent with recombination by a Markov chain along the sequences. Here we describe a new tool, RECJumper, for inference in the Markov
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https://doi.org/10.1007/978-3-319-43681-4bioinformatics; complexity; computational biology; phylogenetics; synthetic biology; algorithm analysis a
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978-3-319-43680-7Springer International Publishing Switzerland 2016
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