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BMCBI
2005
158views more  BMCBI 2005»
13 years 5 months ago
Automated generation of heuristics for biological sequence comparison
Background: Exhaustive methods of sequence alignment are accurate but slow, whereas heuristic approaches run quickly, but their complexity makes them more difficult to implement. ...
Guy St. C. Slater, Ewan Birney
RECOMB
2003
Springer
14 years 6 months ago
Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals
We propose a framework for modeling sequence motifs based on the maximum entropy principle (MEP). We recommend approximating short sequence motif distributions with the maximum en...
Gene W. Yeo, Christopher B. Burge
ENTCS
2007
91views more  ENTCS 2007»
13 years 5 months ago
Timed Concurrent Constraint Programming for Analysing Biological Systems
In this paper we present our rst approach to model and verify biological systems using ntcc, a concurrent constraint process calculus. We argue that the partial information const...
Julian Gutierrez, Jorge A. Pérez, Camilo Ru...
COMAD
2008
13 years 7 months ago
REBMEC: Repeat Based Maximum Entropy Classifier for Biological Sequences
An important problem in biological data analysis is to predict the family of a newly discovered sequence like a protein or DNA sequence, using the collection of available sequence...
Pratibha Rani, Vikram Pudi
KDD
2001
ACM
149views Data Mining» more  KDD 2001»
14 years 6 months ago
Maximum entropy methods for biological sequence modeling
Many of the same modeling methods used in natural languages, speci cally Markov models and HMM's, have also been applied to biological sequence analysis. In recent years, nat...
Eugen C. Buehler, Lyle H. Ungar