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» Detecting Motifs from Sequences
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BIBM
2008
IEEE
113views Bioinformatics» more  BIBM 2008»
15 years 4 months ago
Towards Site-Based Protein Functional Annotations
Abstract—The exact relationship between protein active centers and protein functions is unclear even after decades of intensive study. To improve the functional prediction abilit...
Seak Fei Lei, Jun Huan
NN
2006
Springer
14 years 9 months ago
Self-organizing neural networks to support the discovery of DNA-binding motifs
Identification of the short DNA sequence motifs that serve as binding targets for transcription factors is an important challenge in bioinformatics. Unsupervised techniques from t...
Shaun Mahony, Panayiotis V. Benos, Terry J. Smith,...
CIKM
2005
Springer
15 years 3 months ago
WAM-Miner: in the search of web access motifs from historical web log data
Existing web usage mining techniques focus only on discovering knowledge based on the statistical measures obtained from the static characteristics of web usage data. They do not ...
Qiankun Zhao, Sourav S. Bhowmick, Le Gruenwald
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
NAR
2007
131views more  NAR 2007»
14 years 9 months ago
CRISPRFinder: a web tool to identify clustered regularly interspaced short palindromic repeats
Clustered regularly interspaced short palindromic repeats (CRISPRs) constitute a particular family of tandem repeats found in a wide range of prokaryotic genomes (half of eubacter...
Ibtissem Grissa, Gilles Vergnaud, Christine Pource...