Mapping250K_Nsp(SNPMaP.cdm)
Mapping250K_Nsp()所属R语言包：SNPMaP.cdm
cdm for the Mapping250K\_Nsp microarray
清洁发展机制的Mapping250K \ _Nsp芯片
译者：生物统计家园网 机器人LoveR
描述----------Description----------
A SNPMaP cdm for the Affymetrix Mapping250K\_Nsp genotyping microarray that forms a 500K set with the Mapping250K\_Sty.
ASNPMaPcdm的和Affymetrix公司Mapping250K \ _Nsp基因分型芯片的形成一个500K的Mapping250K \ _Sty集的。
用法----------Usage----------
Mapping250K_Nsp
格式----------Format----------
The format is:<br> List of 2<br> \$ six.probes ist of 2<br> ..\$ perfect : int [1:252960, 1:12] 78152 2167382 2284272 2931842 548588 5440644 2799720 3330902 5113224 3410564 ...<br> .. ..- attr(*, "dimnames")=List of 2<br> .. .. ..\$ : chr [1:252960] "SNP\_A-1780520" "SNP\_A-1780618" "SNP\_A-1780632" "SNP\_A-1780654" ...<br> .. .. ..\$ : chr [1:12] "pma1" "pma2" "pma3" "pma4" ...<br> ..\$ mismatch: int [1:252960, 1:12] 78153 2167383 2284273 2931843 548589 5440645 2799721 3330903 5113225 3410565 ...<br> .. ..- attr(*, "dimnames")=List of 2<br> .. .. ..\$ : chr [1:252960] "SNP\_A-1780520" "SNP\_A-1780618" "SNP\_A-1780632" "SNP\_A-1780654" ...<br> .. .. ..\$ : chr [1:12] "mma1" "mma2" "mma3" "mma4" ...<br> \$ ten.probesist of 2<br> ..\$ perfect : int [1:9304, 1:20] 5461834 5808782 1479170 3088726 2972016 3253158 6375046 1861456 6019908 938352 ...<br> .. ..- attr(*, "dimnames")=List of 2<br> .. .. ..\$ : chr [1:9304] "SNP\_A-4192498" "SNP\_A-4192909" "SNP\_A-4192918" "SNP\_A-4192955" ...<br> .. .. ..\$ : chr [1:20] "pma1" "pma2" "pma3" "pma4" ...<br> ..\$ mismatch: int [1:9304, 1:20] 5461835 5808783 1479171 3088727 2972017 3253159 6375047 1861457 6019909 938353 ...<br> .. ..- attr(*, "dimnames")=List of 2<br> .. .. ..\$ : chr [1:9304] "SNP\_A-4192498" "SNP\_A-4192909" "SNP\_A-4192918" "SNP\_A-4192955" ...<br> .. .. ..\$ : chr [1:20] "mma1" "mma2" "mma3" "mma4" ...
格式是：<BR>的列表的参考\ $ six.probes：2 <BR>名单.. \ $完美的诠释[1:252960，1:12] 78152 2167382 2284272 2931842 548588 5440644 2799720 3330902 5113224 3410564 ...参考.. .. - ATTR（*，“dimnames”）= 2 <BR>列表.. .. .. \ $：字符1:252960]“SNP \ _A-1780520”SNP \ _A-1780618“SNP \ _A-1780632”SNP \ _A-1780654“参考.. .. \ $：字符[1:12]“PMA1”，“PMA2”，“pma3”的“pma4”...参考.. \ $不匹配：[1:252960，1:12] 78153 2167383 2284273 2931843 548589 5440645 2799721 3330903 5113225 3410565 ...参考.. .. - ATTR（*，“dimnames”）= 2 <BR>列表.. .. .. \ $：字符1:252960]“SNP \ _A-1780520”SNP \ _A-1780618“SNP \ _A-1780632”SNP \ _A-1780654“参考.. .. \ $：字符[1:12]“mma1”，“mma2”，“mma3”mma4“...参考\ $ ten.probes：2 <BR>列表.. \完美的诠释[1 ：9304，1:20] 5461834 5808782 1479170 3088726 2972016 3253158 6375046 1861456 6019908 938352 ...参考.. .. - ATTR（*，“dimnames”）= 2 <BR>列表.. .. .. \ $：字符[1:9304]“SNP \ _A-4192498”SNP \ _A-4192909“SNP \ _A-4192918”SNP \ _A-4192955“参考.. .. .. \ $：字符[1:20]“PMA1”，“PMA2”，“pma3”的“pma4”...参考.. \ $不匹配：[1:9304，1:20] 5461835 5808783 1479171 3088727 2972017 3253159 6375047 1861457 6019909 938353 ...参考.. .. - ATTR（*，“dimnames”）= 2 <BR>列表.. .. .. \ $：字符[1:9304]“SNP \ _A-4192498”SNP \ _A-4192909“SNP \ _A-4192918”SNP \ _A-4192955“参考.. .. .. \ $：字符[1:20]“mma1”，“mma2”，“mma3”mma4“...
Details
详细信息----------Details----------
The cdm is used to identify the probesets in the 'raw' SNPMaP object derived from the microarray CELs, achieving a similar function to an Affymetrix CDF file, but faster because it is held in memory once loaded. The Mapping250K\_Nsp cdm inludes mismatch probes as well as perfect match probes and has two sets: The first comprises those 252960 probesets with six quartets, while the second comprises the 9304 probesets with ten quartets. These are reached by specifying set 1 or 2 respectively in a call to snpmap(). Alternatively, both sets can be read at once using msnpmap(). The mismatch probes are extracted by specifying useMM=TRUE.
cdm是用来识别probesets，在“原始”的SNPMaP来自芯片CEL的对象，Affymetrix的CDF文件实现类似的功能，但速度更快，因为它是保存在内存中，一旦加载。 Mapping250K \ _Nspcdminludes不匹配的探针以及完美的比赛探针和具有两个sets：第一类由有六重唱那些252960 probesets的，而第二个包括10四重奏的9304 probesets的。这些均达到通过指定set 1或2分别在调用snpmap()。另外，这两套可以一次读取使用msnpmap()。通过指定useMM=TRUE中提取的错配探针。
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。
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发表于 2012-9-30 11:10:53
