MULTISEQ: SEQUENCE AND STRUCTURE ANALYSIS SOFTWARE

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目和 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说，它不一定是研究者的机构。 MultiSeq [1] (http://www.scs.uiuc.edu/¿schulten/multiseq/) 是 VMD 内的一个统一的生物信息学分析环境，允许人们组织、显示和分析蛋白质和核酸的序列和结构数据。特别强调在进化生物学框架内分析数据。 The Resource 今年发布了 MultiSeq 环境的主要新版本。该软件的 3.0 版已合并到 VMD 1.8.7 版本中，新版本能够处理更大的数据集，并支持新数据库，例如原核生长温度数据库和来自 Comparison RNA 网站的序列分类信息。添加了对 PSIPRED 二级结构预测的支持，并且 QR 算法现在可以与核酸序列一起使用。改进了许多图形显示元素，并为 MultiSeq 程序添加了初始脚本支持。明年，该资源将继续完善 MultiSeq 并添加其他功能，以允许生物医学研究人员结合序列和结构数据。参考文献[1] E. Roberts、J. Eargle、D. Wright 和 Z. Luthey-Schulten。 MultiSeq：统一序列和结构数据以进行进化分析。 BMC 生物信息学，7:382，2006。

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. MultiSeq [1] (http://www.scs.uiuc.edu/¿schulten/multiseq/) is a unified bioinformaticsanalysis environment within VMD that allows one to organize, display, andanalyze both sequence and structure data for proteins and nucleic acids. Specialemphasis is placed on analyzing the data within the framework of evolutionarybiology. The Resource has released a major new version of the MultiSeq environment thisyear. Version 3.0 of the software is incorporated into the 1.8.7 release of VMDand the new version is capable of working with much larger datasets and supportsnew databases such as the Prokaryotic Growth Temperature Database and taxonomicinformation for sequences from the Comparative RNA website. Support forPSIPRED secondary structure prediction has been added, and the QR algorithmcan now be used with nucleic acid sequences. Numerous graphical display elementshave been inproved, and initial scripting support has been added for the MultiSeqprocedures.In the next year the Resource will continue to refine MultiSeq and add additionalfeatures to allow biomedical researchers to combine sequence and structure data.BIBLIOGRAPHY[1] E. Roberts, J. Eargle, D. Wright, and Z. Luthey-Schulten. MultiSeq: Unifying sequenceand structure data for evolutionary analysis. BMC Bioinformatics, 7:382, 2006.