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R语言 ShortRead包 SolexaSet-class()函数中文帮助文档(中英文对照)

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发表于 2012-2-26 14:09:02 | 显示全部楼层 |阅读模式
SolexaSet-class(ShortRead)
SolexaSet-class()所属R语言包:ShortRead

                                        "SolexaSet" coordinating Solexa output locations with sample annotations
                                         “SolexaSet”协调公司Solexa样品注释输出位置

                                         译者:生物统计家园网 机器人LoveR

描述----------Description----------

This class coordinates the file hierarchy produced by the Solexa "pipeline" with annotation data contained in an AnnotatedDataFrame (defined in the Biobase package).
这个类负责协调公司Solexa“管道”的注释中包含的数据所产生的文件层次结构AnnotatedDataFrame(Biobase包中定义)。


类的对象----------Objects from the Class----------

Objects can be created from the constructor:
可以从构造函数创建对象:

SolexaSet(path, ...).
SolexaSet(path, ...)。




path A character(1) vector giving the fully-qualified path to the root of the directory hierarchy associated with each Solexa flow cell, or an object of class SolexaPath (see
路径Acharacter(1)向量与每个公司Solexa流单元相关的目录层次结构的根,或一个类的对象的完全限定路径SolexaPath(见




... Additional arguments, especially laneDescription, an AnnotatedDataFrame describing the content of each of the 8 lanes in the Solexa flow
...额外的参数,尤其是laneDescription,AnnotatedDataFrame8车道的内容描述在公司Solexa流


插槽----------Slots----------

SolexaSet has the following slots:
SolexaSet有以下插槽:




solexaPath: Object of class "SolexaPath".
solexaPath类"SolexaPath"的对象。




laneDescription: Object of class "AnnotatedDataFrame", containing information about the
laneDescription类"AnnotatedDataFrame",其中包含有关信息:对象


延伸----------Extends----------

Class ".Solexa", directly. Class ".ShortReadBase", by class ".Solexa", distance 2.
类".Solexa",直接。类".ShortReadBase"“类”。公司Solexa“,距离为2。


方法----------Methods----------




solexaPath signature(object = "SolexaSet"): Return the directory paths present when this object was created as a
solexaPathsignature(object = "SolexaSet"):返回路径中时,这个对象作为创建目录




laneNames signature(object = "SolexaSet"): Return the names of each lane in the flow cell, currently names are simply
laneNamessignature(object = "SolexaSet"):返回流中的单元的每个车道的名称,目前名是根本




show signature(object = "SolexaSet"): Briefly summarize the experiment path and lane description of the Solexa
显示signature(object = "SolexaSet"):简要总结实验路径的公司Solexa车道描述




detail signature(x = "SolexaSet"): Provide additional detail on the Solexa set, including the content of solexaPath and the pData and varMetadata of
详细signature(x = "SolexaSet"):公司Solexa集提供更多的细节,包括的内容solexaPath和pData和varMetadata

Methods transforming SolexaSet objects include:
转化SolexaSet对象的方法包括:

signature(dirPath = "SolexaSet", pattern = ".*_export.txt", run, ..., filter=srFilter()):
signature(dirPath = "SolexaSet", pattern = ".*_export.txt", run, ..., filter=srFilter()):

Use analysisPath(solexaPath(dirPath))[run] as the directory path(s) and pattern=".*_export.txt" as the pattern for discovering Eland-aligned reads in the Solexa 'export' file format. Note that the default method reads all aligned read files into a single object; often one will want to specify a pattern for each lane. Use an object of SRFilter to select specific chromosomes,
使用analysisPath(solexaPath(dirPath))[run]目录路径(S)和pattern=".*_export.txt"发现伊兰对齐模式,在公司Solexa“出口”的文件格式读取。需要注意的是默认的方法读取所有对齐的读文件到一个单一的对象,常常会想为每个通道指定一个模式。使用SRFilter选择的特定染色体的对象,


作者(S)----------Author(s)----------


Martin Morgan



举例----------Examples----------


showClass("SolexaSet")
showMethods(class="SolexaSet", where=getNamespace("ShortRead"))
## construct a SolexaSet[#1 SolexaSet建设]
sf <- system.file("extdata", package="ShortRead")
df <- data.frame(Sample=c("Sample 1", "Sample 2", "Sample 3", "Sample
                          4", "Center-wide control", "Sample 6", "Sample
                          7", "Sample 8"),
                 Genome=c(rep("hg18", 4), "phi_plus_SNPs.txt",
                          rep("hg18", 3)))
dfMeta <- data.frame(labelDescription=c("Type of sample",
                                        "Alignment genome"))
adf <- new("AnnotatedDataFrame", data=df, varMetadata=dfMeta)
SolexaSet(sf, adf)

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。
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