EXP(seqinr)
EXP()所属R语言包:seqinr
Vectors of coefficients to compute linear forms.
系数向量计算线性形式。
译者:生物统计家园网 机器人LoveR
描述----------Description----------
This dataset is used to compute linear forms on codon frequencies: if codfreq is a vector of codon frequencies then drop(freq %*% EXP$CG3) will return for instance the G+C content in third codon positions. Base order is the lexical order: a, c, g, t (or u).
此数据集来计算密码子频率的线性形式:codfreq是一个向量,密码子频率,然后drop(freq %*% EXP$CG3)比如返回的G+ C含量在密码子第三位置。基本顺序是词汇的顺序:A,C,G,T(或U)。
用法----------Usage----------
data(EXP)
格式----------Format----------
List of 24 vectors of coefficients
24向量系数列表
A num [1:4] 1 0 0 0
一个num [1:4] 1 0 0 0
A3 num [1:64] 1 0 0 0 1 0 0 0 1 0 ...
A3数[1:64] 1 0 0 0 1 0 0 0 1 0 ...
AGZ num [1:64] 0 0 0 0 0 0 0 0 1 0 ...
AGZ数[1:64] 0 0 0 0 0 0 0 0 1 0 ...
ARG num [1:64] 0 0 0 0 0 0 0 0 1 0 ...
ARG数[1:64] 0 0 0 0 0 0 0 0 1 0 ...
AU3 num [1:64] 1 0 0 1 1 0 0 1 1 0 ...
AU3数[1:64] 1 0 0 1 1 0 0 1 1 0 ...
BC num [1:64] 0 1 0 0 0 0 0 0 0 0 ...
公元前数[1:64] 0 1 0 0 0 0 0 0 0 0 ...
C num [1:4] 0 1 0 0
ÇNUM [1:4] 0 1 0 0
C3 num [1:64] 0 1 0 0 0 1 0 0 0 1 ...
C3数[1:64] 0 1 0 0 0 1 0 0 0 1 ...
CAI num [1:64] 0.00 0.00 -1.37 -2.98 -2.58 ...
蔡民[1:64] 0.00 0.00 -1.37 -2.98 -2.58 ...
CG num [1:4] 0 1 1 0
CG NUM [1:4] 0 1 1 0
CG1 num [1:64] 0 0 0 0 0 0 0 0 0 0 ...
CG1数[1:64] 0 0 0 0 0 0 0 0 0 0 ...
CG12 num [1:64] 0 0 0 0 0.5 0.5 0.5 0.5 0.5 0.5 ...
CG12数[1:64] 0 0 0 0 0.5 0.5 0.5 0.5 0.5 0.5 ...
CG2 num [1:64] 0 0 0 0 1 1 1 1 1 1 ...
CG2数[1:64] 0 0 0 0 1 1 1 1 1 1 ...
CG3 num [1:64] 0 1 1 0 0 1 1 0 0 1 ...
CG3数[1:64] 0 1 1 0 0 1 1 0 0 1 ...
CGN num [1:64] 0 0 0 0 0 0 0 0 0 0 ...
CGN数[1:64] 0 0 0 0 0 0 0 0 0 0 ...
F1 num [1:64] 1.026 0.239 1.026 0.239 -0.097 ...
F1数[1:64] 1.026 0.239 1.026 0.239 -0.097 ...
G num [1:4] 0 0 1 0
ĝNUM [1:4] 0 0 1 0
G3 num [1:64] 0 0 1 0 0 0 1 0 0 0 ...
G3的数量[1:64] 0 0 1 0 0 0 1 0 0 0 ...
KD num [1:64] -3.9 -3.5 -3.9 -3.5 -0.7 -0.7 -0.7 -0.7 -4.5 -0.8 ...
KD民[1:64] -3.9 -3.5 -3.9 -3.5 -0.7 -0.7 -0.7 -0.7 -4.5 -0.8 ...
Q num [1:64] 0 0 0 0 1 1 1 1 0 0 ...
Q数[1:64] 0 0 0 0 1 1 1 1 0 0 ...
QA3 num [1:64] 0 0 0 0 1 0 0 0 0 0 ...
QA3数[1:64] 0 0 0 0 1 0 0 0 0 0 ...
QC3 num [1:64] 0 0 0 0 0 1 0 0 0 0 ...
QC3数[1:64] 0 0 0 0 0 1 0 0 0 0 ...
U num [1:4] 0 0 0 1
ü民[1:4] 0 0 0 1
U3 num [1:64] 0 0 0 1 0 0 0 1 0 0 ...
U3的数量[1:64] 0 0 0 1 0 0 0 1 0 0 ...
Details
详细信息----------Details----------
It's better to work directly at the amino-acid level when computing linear forms on amino-acid frequencies so as to have a single coefficient vector. For instance EXP$KD to compute the Kyte and Doolittle hydrophaty index from codon frequencies is valid only for the standard genetic code.<br> <br> An alternative for drop(freq %*% EXP$CG3) is sum( freq * EXP$CG3 ), but this is less efficient in terms of CPU time. The advantage of the latter, however, is that thanks to recycling rules you can use either sum( freq * EXP$A ) or sum( freq * EXP$A3 ). To do the same with the %*% operator you have to explicit the recycling rule as in drop( freq %*% rep(EXP$A, 16)).
这是更好地直接计算线性形式时,在氨基酸水平上的氨基酸的频率,以便具有一个单一的系数向量。例如EXP$KD计算的Kyte和Doolittle hydrophaty的指数从密码子频率是仅适用于标准的遗传密码。<BR> <BR>的替代方案drop(freq %*% EXP$CG3)是 sum( freq * EXP$CG3 ),但是这是效率较低的CPU时间。后者的优点,但是,由于回收规则,您可以使用是sum( freq * EXP$A )或sum( freq * EXP$A3 )。做同样的%*%操作符,你必须明确的回收利用规则,在 drop( freq %*% rep(EXP$A, 16))。
源----------Source----------
ANALSEQ EXPFILEs for command EXP.<br> http://biomserv.univ-lyon1.fr/doclogi/docanals/manuel.html
ANALSEQ EXPFILEs命令EXP。参考http://biomserv.univ-lyon1.fr/doclogi/docanals/manuel.html
参考文献----------References----------
BC Good choice (Bon choix). Gouy M., Gautier C. (1982)
a measure of directionam synonymous codon usage bias, and its potential
expressivity and aromaticity are the major trends of amino-acid usage in 999 Escherichia coli chromosome-encode genes. Nucleic Acids
KD Kyte, J., Doolittle, R.F. (1982) A simple method for displaying the hydropathic character of a protein. J. Mol. Biol.,157
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注:
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