Titlebook: Algorithms in Bioinformatics; 12th International W Ben Raphael,Jijun Tang Conference proceedings 2012 Springer-Verlag Berlin Heidelberg 201

考博

Tracheotomy

Fast Phylogenetic Tree Reconstruction Using Locality-Sensitive Hashing,y a Markov model of evolution. Due to rapid expansion in sequence databases, such very fast algorithms are necessary. Other fast heuristics have been developed for building trees from large alignments [18,1], but they lack theoretical performance guarantees. Our new algorithm runs in .(..log..) time

indignant

暗諷

SibJoin: A Fast Heuristic for Half-Sibling Reconstruction, particularly in endangered populations. Although many solutions exist for reconstructing full-sibling relationships, few exist for half-siblings. We present SibJoin, a heuristic-based clustering approach based on Mendelian genetics, which is reasonably accurate and thousands of times faster than ex

我們的面粉

FLAGR

Estimating Population Size via Line Graph Reconstruction, haplotypes between individuals and is based on transforming the graph of potential haplotype sharing into a line graph using a minimum number of edge and vertex deletions. We show that the problems are NP complete and provide exact integer programming solutions for them. We test our approach using

ILEUM

Extracting Conflict-Free Information from Multi-labeled Trees,conflicting phylogenetic relationships for the same set of taxa, but can also contain conflict-free information that is of interest and yet is not obvious. We define the information content of a MUL-tree . as the set of all conflict-free quartet topologies implied by . , and define the maximal reduc

geometrician

ETHER

An Optimal Reconciliation Algorithm for Gene Trees with Polytomies,ee with a species tree, and interpreting the incongruence between the two trees as evidence of duplication and loss. In the case of binary rooted trees, linear-time algorithms have been developed for the duplication, loss, and mutation (duplication + loss) costs. However, a strict prerequisite to re

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