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Note: There will be an new version of HERD soon (cleanup code, new features and ability to read FASTA input files).
Note: There will be an new version of HERD soon (cleanup of code, new features and ability to read FASTA input files).
We have implemented our algorithm in C++. Currently it is using own input and output formats. You can download source code of our implementation (the license is GPLv3). We have implemented HERD in C++ and it heavily use templates so if you have less than 350MB of free memory, you may have problems to compile it (at least with gcc).
We have implemented our algorithm in C++. Currently it is using own input and output formats. You can download source code of our implementation (the license is GPLv3). We have implemented HERD in C++ and it heavily use templates so if you have less than 350MB of free memory, you may have problems to compile it (at least with gcc).
Note: There will be an new version of HERD soon (cleanup code, new features and ability to read FASTA input files).
We have implemented our algorithm in C++. Currently it is using own input and output formats. You can download source code of our implementation (the license is GPLv3). We have implemented HERD in C++ and it heavily use templates so if you have less than 350MB of free memory, please do not try to compile it (at least not with gcc).
We have implemented our algorithm in C++. Currently it is using own input and output formats. You can download source code of our implementation (the license is GPLv3). We have implemented HERD in C++ and it heavily use templates so if you have less than 350MB of free memory, you may have problems to compile it (at least with gcc).
We have implemented our algorithm in C++. Currently it is using own input and output formats. You can download source code of our implementation (the license is GPLv3). We have implemented HERD in C++ and it heavily use templates so if you have less than 350MB of free memory, please do not try to compile it (at least not with gcc).