The MIQS amino acid substitution matrix defined by Yamada & Tomii (2014).
Usage
data("MIQS")
Format
The format is:
num [1:25, 1:25] 3.2 -1.3 -0.4 -0.4 1.5 -0.2 -0.4 0.4 -1.2 -1.3 ...
- attr(*, "dimnames")=List of 2
..$ : chr [1:25] "A" "R" "N" "D" ...
..$ : chr [1:25] "A" "R" "N" "D" ...
Details
Substitution matrix values represent the log-odds of observing an aligned pair of amino acids versus the likelihood of finding the pair by chance. Values in the MIQS matrix are in units of third-bits (log(odds ratio)*3/log(2)).
Source
Yamada, K., & Tomii, K. (2014). Revisiting amino acid substitution matrices for identifying distantly related proteins. Bioinformatics, 30(3), 317-325. doi:10.1093/bioinformatics/btt694.
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> library(DECIPHER)
Loading required package: Biostrings
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, cbind, colnames, do.call, duplicated, eval, evalq,
get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply,
match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank,
rbind, rownames, sapply, setdiff, sort, table, tapply, union,
unique, unsplit
Loading required package: S4Vectors
Loading required package: stats4
Attaching package: 'S4Vectors'
The following objects are masked from 'package:base':
colMeans, colSums, expand.grid, rowMeans, rowSums
Loading required package: IRanges
Loading required package: XVector
Loading required package: RSQLite
Loading required package: DBI
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/DECIPHER/MIQS.Rd_%03d_medium.png", width=480, height=480)
> ### Name: MIQS
> ### Title: MIQS Amino Acid Substitution Matrix
> ### Aliases: MIQS
> ### Keywords: datasets
>
> ### ** Examples
>
> data(MIQS)
> MIQS["A", "R"] # score for A/R pairing
[1] -1.3
>
> data(BLOSUM62)
> plot(BLOSUM62[1:20, 1:20], MIQS[1:20, 1:20])
> abline(a=0, b=1)
>
>
>
>
>
> dev.off()
null device
1
>