+++ (c) 2012 DOP (dohmatob elvis dopgima) +++

Tiny project on Hidden Markov Models. It is still in active dev.

chdir to the root directory (containing this README), and type the commands:

cmake . make

Simply type (in a terminal, of course!):

./bin/martian ./baumwelch ./multiple_sequence_baumwelch

• Boost c++ libraries (get from boost.org site, or do 'apt-get install libboost-dev')
• Doxygen (optional, for automatic in-source generation of API documentation)
• OpenMP (optional, for parallelization)
• CMake (version 2.6 or later)

GOOD LUCK!