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» On Compressibility of Protein Sequences
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ISMB
1994
13 years 11 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
BMCBI
2007
175views more  BMCBI 2007»
13 years 10 months ago
Fast automated cell phenotype image classification
Background: The genomic revolution has led to rapid growth in sequencing of genes and proteins, and attention is now turning to the function of the encoded proteins. In this respe...
Nicholas A. Hamilton, Radosav S. Pantelic, Kelly H...
BMCBI
2010
129views more  BMCBI 2010»
13 years 10 months ago
The LabelHash Algorithm for Substructure Matching
Background: There is an increasing number of proteins with known structure but unknown function. Determining their function would have a significant impact on understanding diseas...
Mark Moll, Drew H. Bryant, Lydia E. Kavraki
BMCBI
2006
102views more  BMCBI 2006»
13 years 10 months ago
Taking U out, with two nucleases?
Background: REX1 and REX2 are protein components of the RNA editing complex (the editosome) and function as exouridylylases. The exact roles of REX1 and REX2 in the editosome are ...
I. Saira Mian, Elizabeth A. Worthey, Reza Salavati
ISMB
1996
13 years 11 months ago
Parameterization Studies for the SAM and HMMER Methods of Hidden Markov Model Generation
Multiple sequence alignment of distantly related viral proteins remains a challenge to all currently available alignment methods. The hidden Markovmodel approach offers a new,flex...
Marcella A. McClure, Chris Smith, Pete Elton