Problem: I have genetic data at a single variant site, where the minor allele frequency (MAF) is set, and the prevalence of disease is known (Sr). The variant is truly associated with the phenotype, at an odds ratio (OR) I want to set. How do I simulate the phenotypes given these three parameters, and whether each sample has the variant (exposed) or not? This is analogous to simulating data in a 2x2 contigency table, as discussed in stack exchange here: http://stats.

I am currently trying to use ALF (the stand-alone version) to simulate data from a custom tree, and include realistic parameters for SNP rate, INDEL rate, gene loss and recombination rates. This is a little different to what I think the program was originally designed for – small numbers of divergent organisms – but is probably an easier problem. ALF is good because it includes a lot of features of evolution more naive models don’t encompass, and gives good output useful for further simulation and testing work.

I was trying to compile some C++ of the form std::vector<std::thread> threads; for (int i = 0; i<num_threads; ++i) { threads.push_back(std::thread(logisticTest, kmer_lines[i], samples); } with function prototype void logisticTest(Kmer& k, const std::vector<Sample>& samples); on OS X 10.10 with clang++ - Apple LLVM version 6.0 (clang-600.0.54) (based on LLVM 3.5svn) First error message: no matching function for call to __invoke Solution: add -std=c++11 -stdlib=libc++ to CXXFLAGS in Makefile (thanks to http://stackoverflow.com/questions/14115314/how-to-compile-c11-with-clang-3-2-on-osx-lion)

After upgrading from OS X 10.8 (Mountain Lion) to 10.10 (Yosemite), I found that gvim no longer worked and exited with a cryptic dyld message similar to dyld: Symbol not found:. The first thing I tried was uninstalling it with homebrew, then reinstalling: brew uninstall macvim brew install macvim But I got a Trace/BPT trap: 5 during make. Trying to fix this by doing the things suggested by brew doctor and installing openssl gave me essentially the same errors.

I am currently trying to model the state of a genetic locus in bacteria (which may be one of six values) using a hierarchical Bayesian model. This allows me to account for the fact that within a sample there is heterogeneity, as well as there being heterogeneity within a tissue type. This is also good because: I am able to incorporate results from existing papers as priors. From the output I can quantify all the uncertainties within samples and tissues, check for significantly different distributions between condition types.

When installing Cactus (using the progressiveCactus repository) I encountered the following issues during compiling: easy_install not found Solution: Needed to remove my ~/.pydistutils.cfg Dependencies/includes not being found Solution: add CXXFLAGS=-I"<install_location>/include/" and CFLAGS=-I"<install_location>/include/" to <install_location>/share/config.site kyototycoon not compiling as kyotocabinet functions not found (as in issue 27) Solution: (as in my comment to the issue)entering the kyototycoon directory and running configure with different flags, then make: ./configure --prefix=~/software --with-kc=~/software make where ~/software is the prefix I am installing to (with subdirs bin, lib, include, man etc)