IDENTIFICATION OF LTR RETROTRANSPOSONS IN VERTEBRATE GENOMES

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。 我们建议利用先进的计算设备从脊椎动物基因组序列中识别新的LTR反转录转座子。逆转录转座子是真核基因组中的一类转座子。我们最近开发了一种快速而灵敏的算法来识别这些元素。我们希望将这种方法应用于在人类和其他脊椎动物基因组中密集寻找新的元素。我们的程序将在所有TeraGrid网站上向科学界开放，目前是以开放源代码的形式发布的。申请了30000个服务单位。这一估计是基于我们使用Iu Bigred和本地集群的现有工作。印第安纳大学是TeraGrid资源合作伙伴，因此，印第安纳大学的大学信息技术服务将提供出色的本地支持，因此我们将能够非常有效地增强我们的应用程序，使其与公共TeraGrid标准服务(CTSS)兼容。

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. We propose to utilize the advanced computing facility to identify novel LTR retrotransposon from verterbrate genomic sequences. LTR retrotranposons is a class of transposible elements in eukaryotic genomes. We recently developed a fast and sensitive algorithm to identify these elements. We want to apply this method to intensively search for novel elements in human and other vertebrate genomes. Our program will be made available to the scientific community on all Teragrid sites, and is currently released as open source. 30000 Service Units are requested. This estimate is based on our existing work using IU Bigred and local clusters. Indiana University is a TeraGrid Resource Partner, and as a result there will be excellent local support available from IU's University Information Technology Services, so we will be able to enhance our application to be compatible with the Common Teragrid Standard Services (CTSS) very effectively.