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GECCO
2004
Springer
137views Optimization» more  GECCO 2004»
14 years 1 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
AAAI
2008
13 years 10 months ago
Hidden Dynamic Probabilistic Models for Labeling Sequence Data
We propose a new discriminative framework, namely Hidden Dynamic Conditional Random Fields (HDCRFs), for building probabilistic models which can capture both internal and external...
Xiaofeng Yu, Wai Lam
AAAI
2004
13 years 9 months ago
PROBCONS: Probabilistic Consistency-Based Multiple Alignment of Amino Acid Sequences
Obtaining an accurate multiple alignment of protein sequences is a difficult computational problem for which many heuristic techniques sacrifice optimality to achieve reasonable r...
Chuong B. Do, Michael Brudno, Serafim Batzoglou
JCP
2008
114views more  JCP 2008»
13 years 7 months ago
IntelligenTester - Test Sequence Optimization Framework using Multi-Agents
- Our paper focuses on the generation of optimal test sequences and test cases using Intelligent Agents for highly reliable systems. Test sequences support test case generation for...
D. Jeya Mala, V. Mohan
JCB
2007
107views more  JCB 2007»
13 years 7 months ago
Effects of Long-Range Correlations in DNA on Sequence Alignment Score Statistics
Long-range correlations in genomic base composition are a ubiquitous statistical feature among many eukaryotic genomes. In this article, these correlations are shown to substantia...
Philipp W. Messer, Ralf Bundschuh, Martin Vingron,...