Using Genetic Programming to Model Software
W. B. Langdon, M. Harman
TL;DR
This paper explores the use of genetic programming to automatically adapt a generic software model for specific tasks, demonstrated by modeling BLAST's output in DNA sequence mapping.
Contribution
It introduces a novel application of genetic programming to customize existing bioinformatics software for specific data analysis tasks.
Findings
GP can effectively model BLAST's output for DNA sequencing
Genetic programming enables automatic software customization
Potential for improving bioinformatics analysis workflows
Abstract
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.
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Taxonomy
TopicsEvolutionary Algorithms and Applications · Viral Infectious Diseases and Gene Expression in Insects · Reinforcement Learning in Robotics