MULTISEQ: SEQUENCE AND STRUCTURE ANALYSIS SOFTWARE

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。 MultiSeq[1](http://www.scs.uiuc.edu/？Schulten/Multiseq/)是VMD内统一的生物信息学分析环境，它允许人们组织、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的框架内分析数据。该资源今年发布了一个重要的新版本的MultiSeq环境。该软件的3.0版被整合到VMD的1.8.7版本中，新版本能够与更大的数据集一起工作，并支持新的数据库，如原核生物生长温度数据库和比较RNA网站上的序列分类信息。增加了对PSIPRED二级结构预测的支持，QR算法现在可以用于核酸序列。许多图形显示元素已得到改进，并添加了对多序列程序的初始脚本支持。在接下来的一年中，该资源将继续优化多序列并添加附加功能，以允许生物医学研究人员结合序列和结构数据。多序列：为进化分析统一序列和结构数据。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.