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RECOMB
2006
Springer
14 years 9 months ago
Detecting the Dependent Evolution of Biosequences
Abstract. A probabilistic graphical model is developed in order to detect the dependent evolution between different sites in biological sequences. Given a multiple sequence alignme...
Jeremy Darot, Chen-Hsiang Yeang, David Haussler
JCSS
2007
116views more  JCSS 2007»
13 years 9 months ago
The most probable annotation problem in HMMs and its application to bioinformatics
Hidden Markov models (HMMs) are often used for biological sequence annotation. Each sequence feature is represented by a collection of states with the same label. In annotating a ...
Brona Brejová, Daniel G. Brown 0001, Tom&aa...
GECCO
2004
Springer
137views Optimization» more  GECCO 2004»
14 years 2 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
JCB
2007
106views more  JCB 2007»
13 years 9 months ago
Clustered Sequence Representation for Fast Homology Search
We present a novel approach to managing redundancy in sequence databanks such as GenBank. We store clusters of near-identical sequences as a representative union-sequence and a se...
Michael Cameron, Yaniv Bernstein, Hugh E. Williams
ICIP
2009
IEEE
14 years 10 months ago
Bim: Image Matching Using Biological Gene Sequence Alignment
Matching two images with similar contents is one of the most fundamental tasks in image processing. Due to its importance, in recent years, many novel techniques have been propose...