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JCB
2007
94views more  JCB 2007»
13 years 4 months ago
Locality and Gaps in RNA Comparison
Locality is an important and well-studied notion in comparative analysis of biological sequences. Similarly, taking into account affine gap penalties when calculating biological ...
Rolf Backofen, Shihyen Chen, Danny Hermelin, Gad M...
JSC
2006
83views more  JSC 2006»
13 years 4 months ago
Phylogenetic invariants for stationary base composition
Changing base composition during the evolution of biological sequences can mislead some of the phylogenetic inference techniques in current use. However, detecting whether such a ...
Elizabeth S. Allman, John A. Rhodes
IJBRA
2006
107views more  IJBRA 2006»
13 years 4 months ago
Probabilistic models for biological sequences: selection and Maximum Likelihood estimation
: Probabilistic models for biological sequences (DNA and proteins) are frequently used in bioinformatics. We describe statistical tests designed to detect the order of dependency a...
Svetlana Ekisheva, Mark Borodovsky
BIBM
2009
IEEE
113views Bioinformatics» more  BIBM 2009»
13 years 7 months ago
Fast Motif Selection for Biological Sequences
—We consider the problem of identifying motifs, recurring or conserved patterns, in the sets of biological sequences. To solve this task, we present new deterministic and exact a...
Pavel P. Kuksa, Vladimir Pavlovic
SC
2005
ACM
13 years 10 months ago
ClawHMMER: A Streaming HMMer-Search Implementation
The proliferation of biological sequence data has motivated the need for an extremely fast probabilistic sequence search. One method for performing this search involves evaluating...
Daniel Reiter Horn, Mike Houston, Pat Hanrahan
BIBM
2008
IEEE
142views Bioinformatics» more  BIBM 2008»
13 years 11 months ago
Using Global Sequence Similarity to Enhance Biological Sequence Labeling
Identifying functionally important sites from biological sequences, formulated as a biological sequence labeling problem, has broad applications ranging from rational drug design ...
Cornelia Caragea, Jivko Sinapov, Drena Dobbs, Vasa...