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author | Pjotr Prins | 2020-11-28 14:46:44 +0000 |
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committer | Pjotr Prins | 2020-11-28 14:46:44 +0000 |
commit | b4c1212ccd8aa64ed31d584dcc7713bf392e9b97 (patch) | |
tree | 3386d50b183bd5d6cde9c1c5e4de0c1083c9ef47 | |
parent | c895358937111d554999db8617c2fde696634f13 (diff) | |
download | pangemma-b4c1212ccd8aa64ed31d584dcc7713bf392e9b97.tar.gz |
Manual: Remove information on gemmaf since it no longer applies.
-rw-r--r-- | doc/manual.tex | 12 |
1 files changed, 1 insertions, 11 deletions
diff --git a/doc/manual.tex b/doc/manual.tex index 94e686b..555d766 100644 --- a/doc/manual.tex +++ b/doc/manual.tex @@ -321,15 +321,6 @@ installing GSL library, please refer to \url{http://www.gnu.org/s/gsl/}. For details on installing LAPACK library, please refer to \url{http://www.netlib.org/lapack/}. -If you are interested in fitting BSLMM for a large scale GWAS data set -but have limited memory to store the entire genotype matrix, you could -compile GEMMA in float precision. A float precision binary executable, -named ``gemmaf", is available inside the ``bin" folder in the source -code. To compile a float precision binary by yourself, you can first -run ``d2f.sh" script inside the ``src" folder, and then enable -``FORCE\_FLOAT" option in the Makefile. The float version could save -about half of the memory without appreciable loss of accuracy. - \newpage \section{Input File Formats} @@ -1123,8 +1114,7 @@ compressed format. Notice that a large memory is needed to fit BSLMM (e.g. may need 20 GB for a data set with 4000 individuals and 400,000 SNPs), because the software has to store the whole genotype matrix in the physical -memory. The float version (gemmaf) can be used to save about half of -the memory requirement without noticeable loss of accuracy. +memory. In default, GEMMA does not require the user to provide a relatedness matrix explicitly. It internally calculates and uses the centered |