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GECCO
2004
Springer
137views Optimization» more  GECCO 2004»
15 years 7 months ago
Evolving Better Multiple Sequence Alignments
Aligning multiple DNA or protein sequences is a fundamental step in the analyses of phylogeny, homology and molecular structure. Heuristic algorithms are applied because optimal mu...
Luke Sheneman, James A. Foster
DIS
2010
Springer
15 years 24 days ago
Mining Class-Correlated Patterns for Sequence Labeling
Sequence labeling is the task of assigning a label sequence to an observation sequence. Since many methods to solve this problem depend on the specification of predictive features...
Thomas Hopf, Stefan Kramer
WABI
2009
Springer
156views Bioinformatics» more  WABI 2009»
15 years 8 months ago
Phylogenetic Comparative Assembly
Recent high throughput sequencing technologies are capable of generating a huge amount of data for bacterial genome sequencing projects. Although current sequence assemblers succes...
Peter Husemann, Jens Stoye
ICRA
2003
IEEE
119views Robotics» more  ICRA 2003»
15 years 7 months ago
Incremental low-discrepancy lattice methods for motion planning
We present deterministic sequences for use in sampling-based approaches to motion planning. They simultaneously combine the qualities found in many other sequences: i) the increme...
Stephen R. Lindemann, Steven M. LaValle
130
Voted
ICDE
2010
IEEE
750views Database» more  ICDE 2010»
15 years 6 months ago
Efficient and accurate discovery of patterns in sequence datasets
Existing sequence mining algorithms mostly focus on mining for subsequences. However, a large class of applications, such as biological DNA and protein motif mining, require effici...
Avrilia Floratou, Sandeep Tata, Jignesh M. Patel