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GECCO
2006
Springer
171views Optimization» more  GECCO 2006»
13 years 11 months ago
A hybrid genetic search for multiple sequence alignment
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...
Seung-Hyun Moon, Sung-Soon Choi, Byung Ro Moon
ICPR
2010
IEEE
13 years 11 months ago
Spatial Representation for Efficient Sequence Classification
We present a general, simple feature representation of sequences that allows efficient inexact matching, comparison and classification of sequential data. This approach, recently ...
Pavel Kuksa, Vladimir Pavlovic
TCAD
1998
110views more  TCAD 1998»
13 years 7 months ago
Application of genetically engineered finite-state-machine sequences to sequential circuit ATPG
—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...
BIBE
2007
IEEE
147views Bioinformatics» more  BIBE 2007»
14 years 2 months ago
A New Alignment-Independent Algorithm for Clustering Protein Sequences
—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
DEXA
2007
Springer
150views Database» more  DEXA 2007»
14 years 1 months ago
Sequence Alignment as a Database Technology Challenge
Abstract. Sequence alignment is an important task for molecular biologists. Because alignment basically deals with approximate string matching on large biological sequence collecti...
Hans Philippi