Algorithms on strings, trees, and sequences: computer science and computational biology
Algorithms on strings, trees, and sequences: computer science and computational biology
Datascope: Mining Biological Sequences
IEEE Intelligent Systems
Designing the Minimal Structure of Hidden Markov Model by Bisimulation
EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
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The new science of genomics offers tremendous challenges and opportunities for computational scientists. Advances in biotechnology have produced enormous volumes of information about the DNA sequences and proteins of many different organisms, ranging from the smallest bacteria to humans. The existence of these sequences has spurred research and development of new computational tools for making scientific discoveries in genomic data, but the rate of data generation is outpacing scientists' ability to analyze the data. The author describes some of the latest computational techniques used to solve the gene-finding problem, one of the most pressing problems involved in DNA sequence analysis.