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» Algorithms for Challenging Motif Problems
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GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
14 years 1 months ago
Discovering biological motifs with genetic programming
Choosing the right representation for a problem is important. In this article we introduce a linear genetic programming approach for motif discovery in protein families, and we al...
Rolv Seehuus, Amund Tveit, Ole Edsberg
BMCBI
2007
148views more  BMCBI 2007»
13 years 8 months ago
WeederH: an algorithm for finding conserved regulatory motifs and regions in homologous sequences
Background: This work addresses the problem of detecting conserved transcription factor binding sites and in general regulatory regions through the analysis of sequences from homo...
Giulio Pavesi, Federico Zambelli, Graziano Pesole
SOFSEM
2012
Springer
12 years 3 months ago
Recent Challenges and Ideas in Temporal Synthesis
In automated synthesis, we transform a specification into a system that is guaranteed to satisfy the specification against all environments. While modelchecking theory has led to...
Orna Kupferman
PSB
2004
13 years 9 months ago
Motif Discovery in Heterogeneous Sequence Data
This paper introduces the first integrated algorithm designed to discover novel motifs in heterogeneous sequence data, which is comprised of coregulated genes from a single genome...
Amol Prakash, Mathieu Blanchette, Saurabh Sinha, M...
BMCBI
2006
120views more  BMCBI 2006»
13 years 8 months ago
An improved distance measure between the expression profiles linking co-expression and co-regulation in mouse
Background: Many statistical algorithms combine microarray expression data and genome sequence data to identify transcription factor binding motifs in the low eukaryotic genomes. ...
Ryung S. Kim, Hongkai Ji, Wing Hung Wong