This paper proposes a hybrid genetic algorithm for multiple sequence alignment. The algorithm evolves guide sequences and aligns input sequences based on the guide sequences. It a...
We present a general, simple feature representation of sequences that allows efficient inexact matching, comparison and classification of sequential data. This approach, recently ...
—New methods for fault-effect propagation and state justification that use finite-state-machine sequences are proposed for sequential circuit test generation. Distinguishing se...
Michael S. Hsiao, Elizabeth M. Rudnick, Janak H. P...
—The rapid burgeoning of available protein data makes the use of clustering within families of proteins increasingly important, the challenge is to identify subfamilies of evolut...
Abdellali Kelil, Shengrui Wang, Ryszard Brzezinski
Abstract. Sequence alignment is an important task for molecular biologists. Because alignment basically deals with approximate string matching on large biological sequence collecti...