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BMCBI
2005
86views more  BMCBI 2005»
15 years 9 days ago
Generalizations of Markov model to characterize biological sequences
Background: The currently used kth order Markov models estimate the probability of generating a single nucleotide conditional upon the immediately preceding (gap = 0) k units. How...
Junwen Wang, Sridhar Hannenhalli
121
Voted
BMCBI
2002
133views more  BMCBI 2002»
15 years 7 days ago
Identification and characterization of subfamily-specific signatures in a large protein superfamily by a hidden Markov model app
Background: Most profile and motif databases strive to classify protein sequences into a broad spectrum of protein families. The next step of such database studies should include ...
Kevin Truong, Mitsuhiko Ikura
85
Voted
ISMB
1996
15 years 1 months ago
Characterization of Prokaryotic and Eukaryotic Promoters Using Hidden Markov Models
Anders Gorm Pedersen, Pierre Baldi, Søren B...
ALMOB
2006
155views more  ALMOB 2006»
15 years 14 days 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
85
Voted
KDD
2001
ACM
149views Data Mining» more  KDD 2001»
16 years 24 days 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