Hilbertvis installation in R (no admin rights required!)

Playing around with
HilbertVis: Visualization of genomic data with the Hilbert curve

HilbertVis - Bioconductor www.bioconductor.org/packages/release/bioc/html/HilbertVis.html

Trying out an idea to use Hilbert Curves as a method to visually inspect WGS mapped bams for regions of low coverage or unequal coverage across samples.

It has a standalone GUI version that requires gtk+ packages that may not be avail on all systems.

The cool thing is that it can be installed locally within your user directory with a few simple commands

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
>
> source("http://bioconductor.org/biocLite.R")
> biocLite("HilbertVis")
Using R version 2.10.0, biocinstall version 2.5.11.
Installing Bioconductor version 2.5 packages:
[1] "HilbertVis"
Please wait...
Warning in install.packages(pkgs = pkgs, repos = repos, ...) :
  argument 'lib' is missing: using '/usr/lib64/R/library'
Warning in install.packages(pkgs = pkgs, repos = repos, ...) :
  'lib = "/usr/lib64/R/library"' is not writable
Would you like to create a personal library
'~/R/x86_64-redhat-linux-gnu-library/2.10'
to install packages into?  (y/n)
y

Myrna-calculate differential gene expression on Elastic MapReduce or local Hadoop

The software, termed “Myrna” was funded in part by Amazon Web Services (in addition to the Bloomberg School of Public Health and the National Institutes of Health) was, not surprisingly, making use of compute resources from Amazon. In order to test Myrna, researchers rented time and storage resources from AWS and were able to realize solid performance and cost savings. According to the study's authors, “Myrna calculated differential expression from 1.1 billion RNA sequences reads in less than two hours at a cost of about $66.”

Note:
Myrna is a cloud computing tool for calculating differential gene expression in large RNA-seq datasets. Myrna uses Bowtie for short read alignment and R/Bioconductor for interval calculations, normalization, and statistical testing. These tools are combined in an automatic, parallel pipeline that runs in the cloud (Elastic MapReduce in this case) on a local Hadoop cluster, or on a single computer, exploiting multiple computers and CPUs wherever possible. 

also see

Cloud computing method greatly increases gene analysis