similar to: How to import ENSEMBL text data using R

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

Hi, I am very new to R and wanted to know if there is a package that, given very long nucleotide sequences, searches and identifies short (7-10nt) motifs.. I would like to look for enrichment of certain motifs in genomic sequences. I tried using MEME (not an R package, I know), but the online version only allows sequences up to MAX 60000 nucleotides, and that's too short for my needs..

Hi all, Does anyone know what happened to the dna library or the dotmatrix function? For the life of me, I can't find it anywhere with the exception of this reference: http://rss.acs.unt.edu/Rdoc/library/dna/html/dotmatrix.html Thanks! Jeff. http://www.nd.edu/~jspies/ [[alternative HTML version deleted]]

Hi !  Facing problem with " getSequence" commend .  when only biomaRt package loaded the following example working well  >mart <- useMart("ensembl",dataset="hsapiens_gene_ensembl") >seq = getSequence(id="BRCA1", type="hgnc_symbol", seqType="peptide", mart = mart) show(seq) but when i have loaded the seqinr, i got problem

Hi there, I am looking for R-packages that can help me visualize properties on nucleotide sequences. I want to display sequences in the 1-100K base range as lines and plot features above and below those lines. Any ideas would be welcome. Thanks, Bernd [[alternative HTML version deleted]]

Hi - When I'm trying to read in a text file into a labeled character array, the memory stamp/footprint of R will exceed 4 gigs or more. I've seen this behavior on Mac OS X, Linux for AMD_64 and X86_64., and the R versions are 2.4, 2.4 and 2.2, respectively. So, it would seem that this is platform and R version independant. The file that I'm reading contains the upstream regions

Dear R-help, I am using Sweave and pdflatex to generate a large report from data contained in my database (Postgres via RODBC). Currently, I work with a single R/Sweave file, containing several "chapter" indications for the Latex engine. My master tex file sets the document class, and includes the introduction, the main Sweave file, and a conclusions and reference file. I use a makefile

Dear lists, I'm in my process of learning of writing a function. I tried to write a simple functions of a matrix and a vector. Here are the codes: mm<-function(m,n){ #matrix function w<-matrix(nrow=m, ncol=n) for(i in 1:m){ for(j in 1:n){ w[i,j]=i+j } } return(w[i,j]) } v<-function(n){ #function of a vector y=vector(length=n)

All, Recently I ran across a URL documenting published research using R: http://www.cgd.ucar.edu/ccr/ammann/millennium/CODES_MBH.html A note on the site indicates that the code is being revised. The code and data are provided, so that one could reproduce the results without having to buy a proprietary software program. In poking around the R website it is clear that a lot of thought has gone

Dear Mag. Ferri Leberl, I'm using something like: ----------------------- tex.tex --------------------------- \documentclass{article} \usepackage{graphicx} \usepackage{fancyvrb} \newcommand{\Rlogo}{\protect\includegraphics[height=1.8ex,keepaspectratio]{Rlogo.pdf}} \newcommand{\myinput}[1] {\begin{scriptsize} \VerbatimInput[frame=single,label=#1]{#1} \end{scriptsize}} \title{The R logo,

Dear Mag. Ferri Leberl, I'm using something like: ----------------------- tex.tex --------------------------- \documentclass{article} \usepackage{graphicx} \usepackage{fancyvrb} \newcommand{\Rlogo}{\protect\includegraphics[height=1.8ex,keepaspectratio]{Rlogo.pdf}} \newcommand{\myinput}[1] {\begin{scriptsize} \VerbatimInput[frame=single,label=#1]{#1} \end{scriptsize}} \title{The R logo,

Dear all, I'm trying to produce two dotcharts side-by-side within a Sweave document. When I'm compiling this example: \documentclass{article} \begin{document} <<fig=T,width=8,height=4>>= par(mfrow = c(1, 2), cex = 0.7) for(i in 1:2) dotchart(1:10) @ <<fig=T,width=8,height=4>>= par(mfrow = c(1, 2), cex = 0.7) for(i in 1:2) hist(1:10) @

I haven't been able to figure out from this thread why this attribute is necessary at all. Anonymous or unnamed namespaces were added to C++ for this very purpose, but the ISO C++ Standard does not discuss "linkage" per-se because it is outside the scope of the language specification. But it does describes it in terms of having a hidden name which is "unique" to the

Dear all, Is there a way with Bioconductor in which I can convert such EnSemBL probe names into the standard gene names? AFFX-M27830_5_at AFFX-M27830_M_at ENSG00000000003_at ENSG00000000005_at ENSG00000000419_at - Gundala Viswanath Jakarta - Indonesia

Dear lists, I want to write a function of a vector and reverse the order of its elements. Here is my code: revector<-function(n){ y=vector(length=n) for(i in n:1){ y[i]=i } return(y) } i want my output to be like this: y [1] 10 9 8 7 6 5 4 3 2 1 Any suggestion?? Thanks!! Cheers, Anisah ---------------------------------

Dear R-help, After making a typo (reminiscent of FORTRAN 77, I guess) I found the following: > identical(all.equal(2^(-10:10), 2**(-10:10)), TRUE) [1] TRUE I have tried to find the documentation about the ** operator but I was unsuccesful this way: > sessionInfo() Version 2.3.1 (2006-06-01) powerpc-apple-darwin8.6.0 attached base packages: [1] "methods" "stats"

Dear R User, say I have this sample of data ( attach with). What i'm going to do is to test whether this data is uniformly distributed or not by finding the p-value. I've tried using the punif command but it gave me the value of 1 of all the data. Any suggestion on R command to find the p-value??Thanks in advance!! Cheers, Anisah -------------- next part

Hello, thank you for the thoughts. > Have you seen the docs for CMake3.0 [1] (see cmake-buildsystem > especially)? They certainly aren't perfect but they are considerably > better than what was there before. Okay, the documentation has come a long way since 3.0 although it still needs a bit of polish. > I wouldn't say that much "important functionality is plain

> Dear useRs, > > by a circular diagram representation I mean what you will get by entering > this at your R promt: > > pie(1:5) > > Nice to have R as a lingua franca :-) > > The folowing quote is from page 360 in this very interesting paper: > > @article{SpenceI2005, > title = {No Humble Pie: The Origins and Usage of a Statistical Chart}, >

I am an actual end user of LLVM who builds it from source and not a developer of it so I think I have an important perspective that is not represented here. Also I am pretty sure the llvmdev mailing is heavily biased and might not reach actual end users of LLVM. I use the Autotools build system for a number of reasons. If compromises or reasonable workarounds could be found I would be okay with