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SciPhy: A Cloud-Based Workflow for Phylogenetic Analysis of Drug Targets in Protozoan Genomes

机译:SciPhy:基于云的工作流,用于原生动物基因组药物靶标的系统发育分析

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Bioinformatics experiments are rapidly evolving with genomic projects that analyze large amounts of data. This fact demands high performance computation and opens up for exploring new approaches to provide better control and performance when running experiments, including Phylog-eny/Phylogenomics. We designed a phylogenetic scientific workflow, named SciPhy, to construct phylogenetic trees from a set of drug target enzymes found in protozoan genomes. Our contribution is the development, implementation and test of SciPhy in public cloud computing environments. SciPhy can be used in other Bioinformatics experiments to control a systematic execution with high performance while producing provenance data.
机译:随着分析大量数据的基因组计划,生物信息学实验正在迅速发展。这一事实需要高性能的计算,并为探索新方法开辟了新的途径,以便在进行包括Phylog-eny / Phylogenomics在内的实验时提供更好的控制和性能。我们设计了一个名为SciPhy的系统发育科学工作流程,以从原生动物基因组中发现的一组药物靶标酶构建系统发育树。我们的贡献是在公共云计算环境中开发,实施和测试SciPhy。 SciPhy可用于其他生物信息学实验,以控制高性能的系统执行,同时生成出处数据。

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