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» A graphical model for protein secondary structure prediction
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BMCBI
2007
94views more  BMCBI 2007»
13 years 9 months ago
A structural analysis of in vitro catalytic activities of hammerhead ribozymes
Background: Ribozymes are small catalytic RNAs that possess the dual functions of sequencespecific RNA recognition and site-specific cleavage. Trans-cleaving ribozymes can inhibit...
Yu Shao, Susan Wu, Chi Yu Chan, Jessie R. Klapper,...
BMCBI
2010
136views more  BMCBI 2010»
13 years 9 months ago
Protein structure analysis of mutations causing inheritable diseases. An e-Science approach with life scientist friendly interfa
Background: Many newly detected point mutations are located in protein-coding regions of the human genome. Knowledge of their effects on the protein's 3D structure provides i...
Hanka Venselaar, Tim A. H. te Beek, Remko K. P. Ku...
ALMOB
2006
155views more  ALMOB 2006»
13 years 9 months ago
A phylogenetic generalized hidden Markov model for predicting alternatively spliced exons
Background: An important challenge in eukaryotic gene prediction is accurate identification of alternatively spliced exons. Functional transcripts can go undetected in gene expres...
Jonathan E. Allen, Steven L. Salzberg
ISMB
1994
13 years 10 months ago
Stochastic Motif Extraction Using Hidden Markov Model
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
Yukiko Fujiwara, Minoru Asogawa, Akihiko Konagaya
ICML
2005
IEEE
14 years 10 months ago
Learning as search optimization: approximate large margin methods for structured prediction
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
Daniel Marcu, Hal Daumé III