GTfold is a fast, scalable multicore code for predicting RNA secondary structure and is one to two orders of magnitude faster than the de facto standard programs and achieves comparable accuracy of prediction.
Have libomp (11.0.1) installed and cmake (3.19.4). Cmake is being treated "as a formula". There's no GUI here, so doesn't seem to be a need for a cask. If it matters, please clarify.
llvm (11.0.1) is also now installed. However, there were several caveats:
To use the bundled libc++ please add the following LDFLAGS:
LDFLAGS="-L/usr/local/opt/llvm/lib -Wl,-rpath,/usr/local/opt/llvm/lib"
llvm is keg-only, which means it was not symlinked into /usr/local,
because macOS already provides this software and installing another version in
parallel can cause all kinds of trouble.
If you need to have llvm first in your PATH, run:
echo 'export PATH="/usr/local/opt/llvm/bin:$PATH"' >> ~/.profile
For compilers to find llvm you may need to set:
export LDFLAGS="-L/usr/local/opt/llvm/lib"
export CPPFLAGS="-I/usr/local/opt/llvm/include"
Please clarify which of these need to be addressed.
Have libomp (11.0.1) installed and cmake (3.19.4). Cmake is being treated "as a formula". There's no GUI here, so doesn't seem to be a need for a cask. If it matters, please clarify.
llvm (11.0.1) is also now installed. However, there were several caveats:
Please clarify which of these need to be addressed.