similar to: Next-generation sequencing data analysis with R

This is very strange - has been happening the last few days. I just upgraded this system from 5.3 to 5.7 on Monday and the problem started some time after that (but not immediately because I know I used yum Monday evening after the upgrade) I get the following error from yum, but it goes away if I --disablerepo=epel The funny thing is that the listed xml file I can easily wget from this

Dear folks, Please welcome a newbie both to R and the mailing list :). I am currently working on a sequencing project, and heard about R as well as some of its packages for next gen sequencing, and decided to give it a try. Starting with ShortRead, I found a document (http://www.bioconductor.org/packages/2.5/bioc/vignettes/ShortRead/inst/doc/ShortRead_and_HilbertVis.pdf) which does mention

Dear all, please could you suggest any R functions or packages (or external programs), that a. take as input a large number (> 10 000) of short 20-30 nt sequences, and do sequence assembly, to reconstruct larger (extended) 30-50 sequences ? b. take as input a larger number of sequences (100 000 - 1 mil) and cluster these sequences in distinct classes based on the sequence similarity ?

Please do NOT contact me for this post. Please see below for contact details. The company offers solutions for the secure storage and analysis of patient genome sequence information to enable its effective, confidential application to personalized healthcare. The jobholder will be involved in clinical next generation sequence (NGS) data analysis pipeline development. The candidates will be

Dear all , I would like to reconstruct coexpression networks from proteomic count data having integer values. Some internal function doesn't like to work well with integers. How can this error be rectified? > adjacency = adjacency(datExpr, power = softPower, type = "signed"); Error in cor(datExpr, use = "p") : REAL() can only be applied to a 'numeric', not a

Hey folks, I'm trying to use a 5.3 box to run some JNLP apps, but all I get is a view of XML. I try doing some googling and don't come up with much other than this one thread that says I may need both 32 and 64 bit Java to run JNLP. But it is not clear to me how to do that. thanks, -Alan -- ?Don't eat anything you've ever seen advertised on TV? ? ? ? ?? - Michael Pollan,

Dear all, we seek a talented and motivated post-doc to develop computational methods for inferring the molecular basis of genetic diseases by integration of personal omics data. Research topics include: identifying causal mutations of rare disease patients by meta-analysis; inferring disease-causing molecular pathways from genotype, phenotypes, and omics profile of patient-derived cell lines

I'm not sure if I should bother you team with this, apologies in case it's a bother. I'm trying gcc 6.2.1 (from devtoolset-6) with R, everything seems to work just fine, except for mzR. Here is failed build: g++ -m64 -shared -L/usr/lib64/R/lib -Wl,-z,relro -o mzR.so cramp.o ramp_base64.o ramp.o RcppRamp.o RcppRampModule.o rnetCDF.o RcppPwiz.o RcppPwizModule.o RcppIdent.o

I do this on a vanilla-clean R installation, simply: > biocLite("mzR") it pulls some deps in which compile fine, only mzR fails. ... meanwhile... I grabbed devtools and comiled github master - still fails. Should I attach build log? One should not send attachments to the list.. I don't suppose? On 21/12/16 17:06, Martin Morgan wrote: > mzR is a Bioconductor package, so

Hello; Does anybody knows that R have a function for Generelized Negative Binomial model, something like "gnbreg" in "STATA" where dispersion parameter itself is a function of covaraites ? Thanks; [[alternative HTML version deleted]]

*Biostatistician Department of Oncology, University of Oxford * Grade 7: ?29,541 - ?36,298 p.a. An opportunity is available for a Biostatistician to join the Bioinformatics Core within the Department of Oncology. You will provide biostatistical expertise to the Core and contribute to the design of studies, the analysis of data and the development of new analytical methods. This position will

Hi I have a atrange problem and don''t know where to look anymore. I have 4 interfaces running on RHE3 on a Dell XEON server 2.8Ghz 1Gb RAM. The primary use (only one at this stage) is for the server to handle mac address authentication of clients which it does. The problem however has to do with througput. I have 3 DMZ''s which one is a private range doing masquarading and

Hi, I want to analyse DNA sequence data (mtDNA) in R as in calculate Fst, Heterozygosity and such summary statistics. Package Adagenet converts the DNA sequence into retaining only retaining the polymorphic sites and then calcuates Fst.. but is there any other way to do this? I mean analyse the DNA sequence as it is.. and calculate the statistics? Thanks! [[alternative HTML version deleted]]

Hi-- While I agree that we cannot agree on the ideal algorithms, we should be taking practical steps to implement microarrays in the clinic. I think we can all agree that our algorithms have some degree of efficacy over and above conventional diagnostic techniques. If patients are dying from lack of diagnostic accuracy, I think we have to work hard to use this technology to help them, if we

I have an interesting dilemma with sequencing in the dialplan. Up to now, I have assumed that the extensions in the dial plan were tested in the order that they appear in extensions.conf. In other words, I have the following fragment which was designed to dial toll free on the PSTN and all other long distance on VoIP: [longdistance] include => local

Dear all, we have an exciting PhD position applying HPC to the analysis of large scale cancer datasets. The post will suit an applicant from a strong computational background who wishes to apply their knowledge to help develop a better understanding of the processes that control how tumours develop. Details below:- High Performance Computing applied to cancer research: Computational analysis of

Dear all, My gRbase package imports functionality from the bioconductor packages graph, Rgraphviz and RBGL. To make installation of gRbase easy, I would like to have these bioconductor packages installed in connection with installation of gRbase, but to do so the user must use setRepositories() to make sure that R also installs packages from bioconductor. Having to call setRepositories causes

Hi, We're looking for a number of people to join our group (Applied Computational Biology and Bioinformatics -- ACBB) and applying state of the art techniques (see for example, xmap.picr.man.ac.uk) to integrate, analyse and interpret datasets arising from the latest generation of microarrays (including exon, SNP and tiling arrays), quantitative mass-spectrometry and next generation

Hello, This question popped up on the bioc-devel list, I'm forwarding it here. I know that sources for R-2.14 alpha can be found here: http://cran.r-project.org/src/base-prerelease/ But the OP (below) is asking about Windows binaries. Dan ---------- Forwarded message ---------- From: Stefan McKinnon H?j-Edwards <Stefan.Hoj-Edwards at agrsci.dk> Date: 2011/10/4 Subject: Re:

Dear all, When running R CMD check on Windows XP to test my package I get the following warning message: "* checking line endings in C/C++/Fortran sources/headers ... WARNING Found the following sources/headers with CR or CRLF line endings: src/xpsDict.h" The problem is that this file is created by the compiler AUTOMATICALLY during the compilation process, and since the file is