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Signal Processing and Pattern Recognition for Comparative Genomics

Signal Processing and Pattern Recognition for Comparative Genomics is an emerging field that is yielding many advances. Comparative genomics enables advances in deciphering the differences between genomes and analyzing the aggregate phenotype/genotype of organism communities. Advances in this field may hold the key for personalized medicines, diagnosing disease causes, and furthering our understanding of evolution.

The aim of this special issue is to present recent advances and existing state-of-the-art techniques, algorithms and applications in the broad area of Signal Processing and Pattern Recognition for Comparative Genomes.

Edited by: Gail Rosen, David Koslicki and Gregory Ditzler

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