ScISI(ScISI)
ScISI()所属R语言包：ScISI
The In Silico Interactome for Saccharomyces cerevisiae
在硅铝对酿酒酵母相互作用组
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This is the incidence sparse-matrix representatin for the bi-partite graph for the in silico interactome given by Saccharomyces cerevisiae. The rows are indexed by the systematic gene names and the colunmns are indexed by the protein complexes. This matrix contains a 1 in the (i,j) postion if the protein in indexed in the i-th row is a member of the protein complex of the j-th column; it contains a 0 otherwise.
这是稀疏矩阵的发病率在酿酒酵母中的电子相互作用组的双向三方图representatin。的行索引系统的基因名称，和colunmns蛋白复合物索引。此矩阵包含一个1（I，J）现在的位置，如果在蛋白质索引中的第i行第j列的蛋白复合物的成员，否则它包含了0。
ScISIC is a sub-interactome of ScISI which consists of protein complexes derived from small scale experiments and have been curated by Gene Ontology (GO) or MIPS. While these complexes have been curated, not all of them have been completely verified to be true. Periodic changes to GO and MIPS will percolate through the protein complexes or protein complex composition and so the ScISIC will need to be rebuilt. A script located in the inst/Scripts/ entitled createScISIC.R creates an updated ScISIC if the GO and MIPS's files are up to date. GO 2.0.0 and complexcat-data-2006 (MIPS) were used to build ScISIC for Bioconductor 2.1 release of the package ScISI. Both are the most up to date versions of the repository as of 9 October 2007. In addition to MIPS and GO, we have also incorporated protein complexes curated by the IntAct repository. The IntAct protein complexes are obtained from the complex data XML file obtained from IntAct via Rintact.
ScISIC是一个ScISI子相互作用组，其中包括来自小规模的实验蛋白复合物，并已通过基因本体（GO）或MIPS策划。虽然这些复合物已策划，而不是所有的人都被完全证实是真实的。周期性变化和MIPS将渗过的蛋白复合物或蛋白成分复杂，所以的ScISIC将需要重建。 INST /脚本/位于题为createScISIC.R脚本创建了一个更新的ScISIC如果GO和MIPS的文件是最新的。好2.0.0 2006年complexcat的数据（MIPS）的用于建立Bioconductor 2.1包ScISI释放ScISIC。都是最先进的资料库的最新版本为2007年10月9日。 MIPS和GO此外，我们还成立了完整的信息库策划的蛋白质复合物。从复杂的数据的XML文件获得通过Rintact完整获得完整的蛋白质复合物。
In addition to the protein complexes found within MIPS and GO, ScISIC also contains manually curated protein complexes obtained from IntAct. Because IntAct has yet to version its release, the protein complexes were obtained on 25 May 2007.
除了在MIPS和好发现的蛋白质复合物，ScISIC还包含手动策划的蛋白质复合体从完整的获得。因为完整仍未版本发行，蛋白质复合物的获得了2007年5月25日。
ScISIC replaces ScISIverified which has been deprecated.
ScISIC取代ScISIverified已被弃用。
ScISI combines ScISIC with protein complex estimates on the datasets derived by Gavin et al (2002), Ho et al (2002), and Krogan et al (2004) using the penalized algorithm found with apComplex developed by Scholtens et al (2004).
ScISI结合蛋白复合物的估计加文等人（2002），Ho等人（2002），和Krogan等（2004）使用惩罚的算法由Scholtens等（2004）开发的apComplex发现所得出的数据集ScISIC。
用法----------Usage----------
data(ScISI)
格式----------Format----------
The format of both the ScISI and ScISIC is a binary incidence matrix. The rows are indexed by the gene locus names and the columns are indexed by the identification codes for the protein complexes based on the repository from where they are obtained.
格式双方的ScISI和ScISIC的是一个二进制的关联矩阵。基因位点的名称索引中的行和列索引的基础上，他们从那里得到的仓库的蛋白质复合物的识别码。
Details
详情----------Details----------
This is the working in silico interactome built for computational experimentation. The data from which this interactome is built is from the Intact, Gene Ontology, Mips, and estimated protein complexes from apComplex.
这是计算实验建立在硅片相互作用组的工作。从这种相互作用组数据是完整的基因本体，MIPS，和从apComplex估计蛋白质复合物。
源----------Source----------
http://www.geneontology.org
参考文献----------References----------
举例----------Examples----------
data(ScISIC)
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
|
发表于 2012-2-26 13:58:19
