similar to: Pattern Matching within Vector?

hello every one, How to function more than one loop in R? I have the following problem to be solved with the a method of three loops, can you help me please? The data is attached with this message. The data is composed of two parts, cleaved (denoted by ?cleaved?) and non cleaved (denoted by ?noncleaved?). ? to access to the ith peptide, you can use X$Peptide[i] ? to access to the ith label,

Hello all: I have a protein sequence alignment in a data frame (align1, 72 x 236), where each row is a protein and each column a site in the alignment. AA is vector of amino acid symbols plus "-" (gap). I can calculate amino acid frequencies at each site by: >align1.F <- matrix(0,nrow=22,ncol=236,dimnames=list(AA,seq(1:236))) >for(i in 1:236) >

library(sos) (mp <- findFn('{molecular properties}')) ????? ** found 7 matches in 4 packages and opened two web pages in my default browser with (a) the 7 matches and (b) the 4 packages. The first function was something for amino acids, like you suggested.? Two others returned compound and substance information from PubChem. ????? Does this help? ????? Spencer On

All Is there a package or library that will, given a nucleotide sequence 1. calculate the extinction coefficient at 260 nm for (Beer-Lambert's law) 2. calculate molecular weight 3. return it's complementary sequence I was able to find several packages that can do similar calculations for an amino acid sequence for proteins but none for nucleic acids. Any pointers, etc. would be

may some one please help me to sort this out, i am trying to writ a R code for calculating the frequencies of the amino acids in 9 different sequences, i want the code to read the sequence from external text file, i used the following code to do so: x<-read.table("sequence.txt",header=FALSE) then i defined an array for 20 amino acids as following:

Dear all, I am a R beginner, and I am looking for a way to do the same thing for all levels of a column in a table. Basically, I have a bunch of protein sequences composed of different amino acid residues, and each residue is represented by an uppercase letter. I want to calculate the ratio of different amino acid residues at each position of the proteins. Here is an example table: Proteins

... In addition, you may wish to also post on the Bioconductor list for this sort of thing. -- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Thu, May 3, 2018 at 12:58 AM, Spencer Graves <spencer.graves at effectivedefense.org>

Hello: I am attempting to use R to analyze amino acid frequencies in aligned protein sequences and need some help. So far, I have imported my sequence alignment into a data frame (lets call it "alignment") with each site in one column, so that I have a data frame consisting of columns of letters (the 21 amino acid symbols plus "-") with row names being the corresponding

Dear R-helpers: thank your for your attention. i am a newer to R and i am doing some protein category classification based on the amino acid sequence.while i have some questions urgently. 1. any packages for analysis amino acid sequence 2. given two sequences "AAA" and "BBB",how can i combine them into "AAABBB" 3. based on "AAABBB",how can i get some

Dear R-helpers: thank your for your attention. i am a newer to R and i am doing some protein category classification based on the amino acid sequence.while i have some question urgent. 1. any packages for analysis amino acid sequence 2. given two sequences "AAA" and "BBB",how can i combine them into "AAABBB" 3. based on "AAABBB",how can i get some

I have following codes for ggplots. The legends are given in the plot do not match with the values specified in the codes given below. Your helps highly appreciated. Greg library(ggplot2) p <- ggplot(a,aes(x=NO_BMI_FI_beta ,y=FI_beta ,color= Super.Pathway))+ theme_bw() +theme(panel.border=element_blank()) + geom_point(size=3) p2<-p+scale_color_manual(name="Super.Pathway",

Dear all, I am trying to make a series of waffle plot-like figures for my data to visualize the ratios of amino acid residues at each position. For each one of 37 positions, there may be one to four different amino acid residues. So the data consist of the positions, what residues are there, and the ratios of residues. The ratios of residues at a position add up to 100, or close to 100 (more on

hi i am new to R language. I want to use aaMI package which calculates the amino acid mutual interaction for a given protein sequence. I had installed the package but when i run the program it gives me the error could not find function "aaMI". can anyone tell me what might be the problem.. -- View this message in context: http://www.nabble.com/aaMI-tp14915744p14915744.html Sent from

Hello, everybody. We are working on a tool for mutation testing. The work is still in progress and far away from being done. However, we have got some results already. And we would like to share them with you. But, let me give you a brief introduction first. ### Mutation Testing In a nutshell, Mutation Testing is a way to evaluate a quality of a test suite. The approach suggests introducing a

Hi there, I have a large amino acid csv file like this: input.txt: P,LV,Q,Z P,VL,Q,Z P,ML,QL,Z There is a problem with this file, since LV and VL are in fact the same thing. How do I order each element according to alphabetical order so that the desired output would look like: output.txt: P,LV,Q,Z P,LV,Q,Z P,LM,LQ,Z -- View this message in context:

Dear All, I would like to generate random protein sequences using a HMM model. Has anybody done that before, or would you have any idea which package is likely to be best for that? The important facts are that the HMM will be fitted on ~3 million sequential observations, with 20 different states (one for each amino acid). I guess that 2-5 hidden states should be enough, and an order of 3 would

Dear users, In my psychometric test i have applied logistic regression on my data. My data consists of 50 predictors (22 continuous and 28 categorical) plus a binary response. Using glm(), stepAIC() i didn't get satisfactory result as misclassification rate is too high. I think categorical variables are responsible for this debacle. Some of them have more than 6 level (one has 10 level).

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Hi, I'm incrementing my toy compiler to account for variable mutations around if/else blocks. Reading the Kaleidoscope tutorial, I've learnt that I can substitute the PHI node creation by allocas and retrieving the value later, if needed. The Kaleidoscope example seems to account for one value only, the result of: Value *ThenV = Then->Codegen(); (...) Value *ElseV =

Dear all, I would appreciate please a piece of help regarding the use of acast/dcast functions in reshape2 package. Specifically, I'm working with a data frame, that has information about SAMPLE, GENE, and TYPE of MUTATION (as shown below): Sample Gene Type 22M AEBP1 SNV 17M AEBP1 SNV 22M ATR INDEL 22M ATR SNV 11M BTK SNV 11M BTK