Using Genetic Programming to Model Software
This work addresses the need for adapting existing software to new, unanticipated tasks in bioinformatics, though it appears incremental as it applies a known method to a specific domain.
The authors tackled the problem of automatically customizing a generic program for a new task by using genetic programming to evolve models of BLAST's output for mapping Solexa Next-Gen DNA sequences to the human genome, achieving results that demonstrate the feasibility of this approach.
We study a generic program to investigate the scope for automatically customising it for a vital current task, which was not considered when it was first written. In detail, we show genetic programming (GP) can evolve models of aspects of BLAST's output when it is used to map Solexa Next-Gen DNA sequences to the human genome.