PARALLELIZING COMPUTATIONALLY INTENSIVE PHYLOGENETIC ANALYSIS ROUTINES

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 通过以下方式收集分子序列数据方面的最新改进 分子生物学家和生物化学家带来了这两种能力 并需要对更大、更复杂的数据进行系统发育分析 集合，并执行分析以回答有关 生物有机体之间的关系。这个项目涉及到 利用MPI消息传递库实现PHYLIP包的并行化 使依赖自举的大规模系统发育研究成为 在适度的时间内对适度数量的 处理器。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The recent improvements in gathering molecular sequence data by molecular biologists and biochemists has brought with it both the ability and need to perform phylogenetic analyses on larger, more complex data sets and to perform analyses to answer new kinds of questions about the relationships among biological organisms. This project concerns the parallization of Phylip package using the MPI message passing library to enable large scale phylogenetic studies that rely on bootstrapping to be performed within a moderate amount of time on a moderate number of processors.