We present a new machine learning approach to the inverse parametric sequence alignment problem: given as training examples a set of correct pairwise global alignments, find the p...
For finding accurate and biologically meaningful multiple sequence alignment, it is required to consider a loosely constrained version of multiple sequence alignment. This paper is...
Abstract—We consider the problem of aligning multiple protein sequences with the goal of maximizing the SP (Sum-of-Pairs) score, when the number of sequences is large. The QOMA (...
In the initial stage of sequence analysis, a biologist is first faced with the questions about how to choose the best tool to align sequences of interest and how to analyze and v...
Arthur Chun-Chieh Shih, D. T. Lee, Laurent Lin, Ch...
When aligning biological sequences, the choice of parameter values for the alignment scoring function is critical. Small changes in gap penalties, for example, can yield radically ...