For contributions see [contributors](https://github.com/genetics-statistics/GEMMA/graphs/contributors) and [commits](https://github.com/genetics-statistics/GEMMA/commits/master). ## ChangeLog v0.98.1 (2018/12/10) Bug fix release * Fixes regression on Plink analysis with missing data (thank you @voichek) ## ChangeLog v0.98 (2018/09/28) With the v0.98 release GEMMA has stabilized, is faster than ever, and contains extensive error checking. This release contains quite a few bug fixes, hardware-based floating point checking and speedups. * GEMMA is faster than ever #136 * Fixes log standing 'GSL ERROR: matrix is singular in lu.c at line 266' mvlmm regression with correlated phenotypes #179 with https://github.com/genetics-statistics/GEMMA/commit/99527865c00b74a3a48daa2e1e5eb7c71bd861b5 - (thank you @HannahVMeyer and @xiangzhou) * Adds x86 hardware based floating point error checking #161, see 70f419673d5d3e49a3eada70c70c2d284b502d7b * Provide a static release of GEMMA again for Linux #162 * Fixes clang++ build on MacOS #160 * Enforce failed for 0.00 in src/io.cpp at line 1431 in BimbamKin #149 * -no-check is default now * Force SIGINT on error so debuggers can get a stack trace * Improved CalcPab functions to not break on division by zero https://github.com/genenetwork/GEMMA/commit/8010061e8af476d66a0ca6fb6d509b36acdb9b9a (thank you @xiangzhou) * Add Windows MingW compilation support (thanks @DannyArends) * Fully utilizing GNU Guix containers for a build system (see INSTALL.md) * Updated manual by @xiangzhou) Note: This is the last purely C/C++ compilable release because we are integrating faster-lmm-d code for new functionality in the next version. Also we are working on a Python and R interface. To install the image, download and ```sh md5sum gemma-0.98.gz 875cde6d37fb96014356b15dc77ebf93 gemma-0.98.gz gzip -d gemma-0.98.gz chmod a+x gemma-0.98 ./gemma-0.98 GEMMA 0.98 (2018-09-28) by Xiang Zhou and team (C) 2012-2018 type ./gemma -h [num] for detailed help ``` The binary images were reproducibly built on x86_64 with ```sh guix pull -l Generation 4 Sep 25 2018 10:16:39 (current) guix 932839f repository URL: https://git.savannah.gnu.org/git/guix.git branch: origin/master commit: 932839ff124ff3b0dd3070914fb1c5beec69bf32 guix environment -C guix --ad-hoc gcc gdb gfortran:lib gsl eigen openblas zlib bash ld-wrapper perl make clean && make -j 16 && make fast-check for x in `ldd bin/gemma|cut -d ' ' -f 3` ; do realpath $x ; done /gnu/store/kf8pva0pgwg6yrcpa52iri293j8fc56q-gsl-2.5/lib/libgsl.so.23.1.0 /gnu/store/fxiwj2wpp11sif613axdax7gmwzsg6kp-zlib-1.2.11/lib/libz.so.1.2.11 /gnu/store/zpm494j02m6snmvcjxcdqxkgwx43nkmj-openblas-0.3.2/lib/libopenblasp-r0.3.2.so /gnu/store/4ik1aw34nxs4372xlimvnaq2ilhclwpw-gfortran-8.2.0-lib/lib/libgfortran.so.5.0.0 /gnu/store/bmaxmigwnlbdpls20px2ipq1fll36ncd-gcc-8.2.0-lib/lib/libquadmath.so.0.0.0 /gnu/store/bmaxmigwnlbdpls20px2ipq1fll36ncd-gcc-8.2.0-lib/lib/libstdc++.so.6.0.25 /gnu/store/l4lr0f5cjd0nbsaaf8b5dmcw1a1yypr3-glibc-2.27/lib/libm-2.27.so /gnu/store/bmaxmigwnlbdpls20px2ipq1fll36ncd-gcc-8.2.0-lib/lib/libgcc_s.so.1 /gnu/store/l4lr0f5cjd0nbsaaf8b5dmcw1a1yypr3-glibc-2.27/lib/libpthread-2.27.so /gnu/store/l4lr0f5cjd0nbsaaf8b5dmcw1a1yypr3-glibc-2.27/lib/libc-2.27.so /gnu/store/1yym4xrvnlsvcnbzgxy967cg6dlb19gq-gfortran-5.5.0-lib/lib/libgfortran.so.3.0.0 # build static image make clean && make FORCE_STATIC=1 -j 16 && make check ``` ## ChangeLog v0.97 (2017/12/19) This is a massive bug fix release with many improvements. ### Speedup of GEMMA by using optimized OpenBlas * Binary release with OpenBlas optimization for generic x86_64 and for Intel Haswell * Dropped using standard lapack and gslcblas libs * Fixed NaN bug with GSL2 and made recent libraries the default * Minimized use of Eigenlib libraries (single threaded and slow compilation) * -legacy switch provides v0.96 behaviour (incl. eigenlib) ### Added Leave One Chromosome Out (LOCO) support for Bimbam (K and LMM) * See 449d882a3b33ef81ef4f0127c3932b01fa796dbb * -snps [filename] option allow selecting a subset of SNPs for analysis * -loco [chr] option for K and LMM computations * added [gemma-wrapper](https://github.com/genetics-statistics/gemma-wrapper) to make using LOCO easy * LOCO examples in https://github.com/genetics-statistics/GEMMA/blob/master/test/dev_test_suite.sh ### Added checks for matrices * #72 and #45 implements 1. Fail if K has negative eigen values 2. Fail if K is not symmetric 3. Fail if K is not positive definite 4. Warn in eigen values are very small 5. Warn if K is ill conditioned * Check for NaN values ### Added test framework and unit tests * Added integration and unit tests, as well as [Travis-CI](https://travis-ci.org/genenetwork/GEMMA) support * Improved debug information and testing of input files ### Other * #81 printing out beta and se(beta) under -lmm 2 as well as logl_H1 * Improved README and INSTALL docs * Added support info and code of conduct * Reformatted the full source tree with 3935ba39d30666dd7d4a831155631847c77b70c4 * Merged LMM computation for Plink and Bimbam formats * Fixed progressbar issues * #46 removed support for Oxford format * Got rid of all compiler warnings * Updated copyright banner, info and license information for included software * Started a [discussion list](https://groups.google.com/forum/#!forum/gemma-discussion) See also [commits](https://github.com/genetics-statistics/GEMMA/commits/master). ## GEMMA 0.96.0 + First stable release. ## GEMMA 0.95.2 + Resolved Issue #36. ## GEMMA 0.95.1 + Created first release of GEMMA 0.95a following request in Issue #33. ## GEMMA 0.94.1 + Fixed a bug (the predict option for multiple phenotype imputation was not recoginzed with PLINK files). ## GEMMA 0.94.0 + Implemented the multivariate linear mixed model. ## GEMMA 0.93 + Implemented the Bayesian sparse linear mixed model. ## GEMMA 0.92 + Fixed a few typos. + Now allows for missing values in the covariates file. + Included REMLE estimate for lambda in the output .log file. + Added small GWAS example dataset + Added detailed user manual. ## GEMMA 0.91 + Fixed a bug (BIMBAM annotation file not recognized). ## GEMMA 0.90 + Initial pre-release. See also https://github.com/genetics-statistics/GEMMA/releases