Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Background: With ever increasing numbers of closely related virus genomes being sequenced, it has become desirable to be able to compare two genomes at a level more detailed than ...
Ryan Brodie, Alex J. Smith, Rachel L. Roper, Vasil...
Background: All known genomes code for a large number of transcription factors. It is important to develop methods that will reveal how these transcription factors act on a genome...
Henry R. Bigelow, Adam S. Wenick, Allan Wong, Oliv...
Background: An increasing number of researchers have released novel RNA structure analysis and prediction algorithms for comparative approaches to structure prediction. Yet, indep...
Background: Two of the mostly unsolved but increasingly urgent problems for modern biologists are a) to quickly and easily analyse protein structures and b) to comprehensively min...