MULTISEQ: SEQUENCE AND STRUCTURE ANALYSIS SOFTWARE

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， 因此可以在其他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。 MultiSeq [1]（http：//www.scs.uiuc.edu/<$schulten/multiseq/）是VMD中的一个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。The Resource今年发布了一个主要的MultiSeq环境新版本。该软件的3.0版被纳入到VMD1.8.7版本中，新版本能够处理更大的数据集，并支持新的数据库，如Prophylaxis生长温度数据库和来自比较RNA网站的序列分类信息。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经得到改进，并且为MultiSeq程序添加了初始脚本支持。在明年，资源将继续完善MultiSeq并添加额外的功能，以允许生物医学研究人员将联合收割机序列和结构数据结合起来。Roberts，J. Eargle，D. Wright和Z.卢瑟-舒尔滕MultiSeq：统一序列和结构数据用于进化分析。BMC Bioinformatics，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.