By Martin Frith, Christian Nørgaard Storm Pedersen
This booklet constitutes the refereed complaints of the sixteenth overseas Workshop on Algorithms in Bioinformatics, WABI 2016, held in Aarhus, Denmark. The 25 complete papers including 2 invited talks awarded have been rigorously reviewed and chosen from fifty four submissions.
The chosen papers hide a variety of subject matters from networks, tophylogenetic experiences, series and genome research, comparative genomics, and mass spectrometry info research.
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Extra info for Algorithms in Bioinformatics: 16th International Workshop, WABI 2016, Aarhus, Denmark, August 22-24, 2016. Proceedings
The second variant (ratio) considers all paths (not only shortest ones) among pairs of vertices, and it does not guarantee to run in polynomial time but has been shown to run eﬃciently on real datasets . We also consider a simple greedy algorithm that builds a solution starting from each vertex v and reports the best solution found. The algorithm builds a solution by always adding to the current solution S the neighboring node providing the maximum increase in the coverage. 2 ILP Formulation and Branch and Cut Algorithm Our ILP formulation for CMCP is analogous to a recent formulation  for the prize-collecting Steiner Tree problem.
We also implemented two variants of the approximation algorithm that do not compute all pairs shortest paths and diﬀer in the way they deﬁne candidate paths to extend the current solution. The ﬁrst variant (bfs) performs a BFS (of depth ≤k) starting from the node v from which the solution is grown. The second variant (ratio) considers all paths (not only shortest ones) among pairs of vertices, and it does not guarantee to run in polynomial time but has been shown to run eﬃciently on real datasets .
1 were obtained for d = 17. The top-scoring cluster, consistently across all window sizes, was the cluster containing the four genes: 10,11,12, and 13. The p-value for this bicluster (e−78 for d = 17) was signiﬁcantly lower than the p-values for all the other biclusters, based on its orthologous occurrences in 14 out of the 33 genomes in the target set. Furthermore, in some of these genomes: Chromobacterium violaceum, Pseudomonas aeruginosa, Vibrio parahaemolyticus, and Salmonella enterica serovar Typhi CT18, our tool identiﬁed two or three copies of this bicluster in distinct locations on the chromosome.