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ISMB
1996
14 years 11 months ago
Gene Recognition in Cyanobacterium Genomic Sequence Data Using the Hidden Markov Model
We have developed a hidden Markov model (HMM)to detect the protein coding regions within one megabase contiguous sequence data, registered in a database called GenBankin eight ent...
Tetsushi Yada, Makoto Hirosawa
BMCBI
2005
141views more  BMCBI 2005»
14 years 9 months ago
A method for the prediction of GPCRs coupling specificity to G-proteins using refined profile Hidden Markov Models
Background: G- Protein coupled receptors (GPCRs) comprise the largest group of eukaryotic cell surface receptors with great pharmacological interest. A broad range of native ligan...
Nikolaos G. Sgourakis, Pantelis G. Bagos, Panagiot...
ISMIR
2003
Springer
133views Music» more  ISMIR 2003»
15 years 3 months ago
Chord segmentation and recognition using EM-trained hidden markov models
Automatic extraction of content description from commercial audio recordings has a number of important applications, from indexing and retrieval through to novel musicological ana...
Alexander Sheh, Daniel P. W. Ellis
ISMB
1994
14 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
2006
160views more  BMCBI 2006»
14 years 10 months ago
Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sources
Background: In order to improve gene prediction, extrinsic evidence on the gene structure can be collected from various sources of information such as genome-genome comparisons an...
Mario Stanke, Oliver Schöffmann, Burkhard Mor...