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BMCBI
2008
144views more  BMCBI 2008»
13 years 7 months ago
Rule-based knowledge aggregation for large-scale protein sequence analysis of influenza A viruses
Background: The explosive growth of biological data provides opportunities for new statistical and comparative analyses of large information sets, such as alignments comprising te...
Olivo Miotto, Tin Wee Tan, Vladimir Brusic
GCB
2000
Springer
75views Biometrics» more  GCB 2000»
13 years 11 months ago
Regexpcount, a Symbolic Package for Counting Problems on Regular Expressions and Words
In previous work [10], we considered algorithms related to the statistics of matches with words and regular expressions in texts generated by Bernoulli or Markov sources. In this w...
Pierre Nicodème
RECOMB
2006
Springer
14 years 8 months ago
New Methods for Detecting Lineage-Specific Selection
Abstract. So far, most methods for identifying sequences under selection based on comparative sequence data have either assumed selectional pressures are the same across all branch...
Adam C. Siepel, Katherine S. Pollard, David Haussl...
CGI
2004
IEEE
13 years 11 months ago
Probabilistic Motion Sequence Generation
Creating long animation sequences with non-trivial repetitions is a time consuming and often difficult task. This is true for 2D images and even more true for 3D sequences. Based ...
Mirko Sattler, Ralf Sarlette, Reinhard Klein
ECAI
2004
Springer
14 years 1 months ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana