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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Alvarez-Jarreta, J. de Miguel Casado, G. Mayordomo, E. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. de Inf. e Ing. de Sist. (DIIS), Univ. de Zaragoza, Zaragoza, Spain (Alvarez-Jarreta, J.; de Miguel Casado, G.; Mayordomo, E.) |
| Abstract | Most phylogeny estimation systems such as $SATe^{2}$ or DACTAL use fixed configurations and tools that make them suitable only for solving specific problems. Out of that scope, a hand-made combination of individual tools and methods has to be composed in order to get the desired phylogeny estimation. PhyloFlow is a new framework based on a workflow extendable to a wide range of tasks in phylogenetic analysis. This system is specially intended to build large phylogenies, where most of the methods do not provide a solution at all or the computing time required is not affordable. The workflow can scale to different phylogenetic estimation problems, the methods and stages already included can be fully customizable and once the user has set up the system, it will run automatically until the phylogenetic tree is completely estimated. With the current version we have recreated two different phy-logenetic systems: DACTAL and a study case for the human mitochondrial DNA. The first one displays the capabilities of our framework to reproduce the existing systems, in addition with the properties that a parallel system can provide. The second one shows the possibilities of building a real case workflow to estimate a phylogenetic tree for more than 23000 sequences of human mitochondrial DNA (16569 bp on average) applying biological knowledge to the process. Both workflows have been run sequentially and in parallel in a HTC cluster (HTCCondor and DAGMan). PhyloFlow source code, the datasets and the workflow configurations are available by request to the first author. |
| Starting Page | 1 |
| Ending Page | 7 |
| File Size | 387159 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781479956692 |
| DOI | 10.1109/BIBM.2014.6999303 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-11-02 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | scientific workflow Accuracy Biological system modeling Buildings Estimation DNA maximum likelihood model selection Phylogeny supertree phylogeny estimation |
| Content Type | Text |
| Resource Type | Article |
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