Dear Sir/Madam, I am Mayur Doke persuing PhD in Public Health from Florida International University. I have read research article on Idiopathic and heritable PAH perturb common molecular pathways, correlated with increased MSX1 Expression which Published in Journal of Pulmonary Circulation of july-sept 2011 issue. In this research paper, researchers have mentioned that the open source software, R2.13/Biconductor 2.8 utilized for microarray analysis. The issue is I am not getting the software from the link in website which you have provided. So could you please guide me in order to install the above mentioned software. Thanking you, Mayur Doke [[alternative HTML version deleted]]

Hi Mayur, ----- Original Message ----- > From: "Mayur Doke" <mdoke001 at="" fiu.edu=""> > To: bioconductor at r-project.org > Sent: Wednesday, February 26, 2014 12:35:58 PM > Subject: [BioC] Request for installation of software R2.13/Biconductor 2.8 > > Dear Sir/Madam, > > I am Mayur Doke persuing PhD in Public Health from Florida > International > University. I have read research article on Idiopathic and heritable > PAH > perturb common molecular pathways, correlated with increased MSX1 > Expression which Published in Journal of Pulmonary Circulation of > july-sept > 2011 issue. In this research paper, researchers have mentioned that > the > open source software, R2.13/Biconductor 2.8 utilized for microarray > analysis. > > The issue is I am not getting the software from the link in website > which > you have provided. So could you please guide me in order to install > the > above mentioned software. > If you want to reproduce exactly the analysis in the paper, you should use R-2.13 and Bioconductor 2.8. However, be aware that reproducibility is the ONLY reason to use older versions. For any other reasons you should use current versions of R (3.0.2) and Bioconductor (2.13). If you do want to install the older versions, all you have to do is install R 2.13 from http://cran.r-project.org/. The exact link varies depending on your OS. For windows: http://cran.r-project.org/bin/windows/base/old/ For Mac: http://cran.r-project.org/bin/macosx/old/ For Linux and other Unices, install a source tarball here: http://cran.r-project.org/src/base/ Once you have done that, start R and type: source("http://bioconductor.org/biocLite.R") This will allow you to automatically install the appropriate version of Bioconductor packages using the biocLite() command. For example, to install Biobase: biocLite("Biobase") The package pages of Bioconductor version 2.8 are visible here: http://www.bioconductor.org/packages/2.8/BiocViews.html#___Software But you should only use this page to read about the packages. You should install them as I've described above (and as mentioned on each package page). Thanks, Dan > Thanking you, > > Mayur Doke > > [[alternative HTML version deleted]] > > _______________________________________________ > Bioconductor mailing list > Bioconductor at r-project.org > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: > http://news.gmane.org/gmane.science.biology.informatics.conductor >