Hidden Markov models (HMMs) have been successfully applied to a variety of problems in molecular biology, ranging from alignment problems to gene nding and annotation. Alignment p...
This research explores the feasibility of semantic similarity approaches to supporting predictive tasks in functional genomics. It aims to establish potential relationships betwee...
Background: Microarray studies in cancer compare expression levels between two or more sample groups on thousands of genes. Data analysis follows a population-level approach (e.g....
James Lyons-Weiler, Satish Patel, Michael J. Becic...
In this paper, 4 microRNAs and their targets were predicted through a de novo prediction procedure in the genome of Porcine Reproductive and Respiratory Syndrome virus. Through cl...
The loss of previously established genes has been proposed as a major force in evolutionary change. While the sequencing of many new species offers the opportunity to identify case...