PARALLELIZING COMPUTATIONALLY INTENSIVE PHYLOGENETIC ANALYSIS ROUTINES

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 最近的改进，收集分子序列数据， 分子生物学家和生物化学家带来了 需要对更大更复杂的数据进行系统发育分析 并进行分析，以回答有关 生物有机体之间的关系。该项目涉及 使用MPI消息传递库并行化Phylip包， 使大规模的系统发育研究，依赖于自举， 在适度的时间内进行适度数量的 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.