Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
Recent advances in DNA sequencing technology have created large data sets upon which phylogenetic inference can be performed. However, current research is limited by the prohibiti...
Quinn Snell, Michael Whiting, Mark J. Clement, Dav...
Abstract. We explore the information processing capabilities and efciency of DNA computations by giving two di erent types of implementations of nite-state machines. A ligation-bas...
Max H. Garzon, Y. Gao, John A. Rose, R. C. Murphy,...
— We present an integrative method for clustering coregulated genes and elucidating their underlying regulatory mechanisms. We use multi-state partition functions and thermodynam...