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» Motif Discovery in Heterogeneous Sequence Data
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BMCBI
2010
123views more  BMCBI 2010»
13 years 4 months ago
Predicting conserved protein motifs with Sub-HMMs
Background: Profile HMMs (hidden Markov models) provide effective methods for modeling the conserved regions of protein families. A limitation of the resulting domain models is th...
Kevin Horan, Christian R. Shelton, Thomas Girke
RECOMB
2004
Springer
14 years 3 months ago
Application of Kernel Method to Reveal Subtypes of TF Binding Motifs
Transcription factor binding sites often contain several subtypes of sequences that follow not just one but several different patterns. We developed a novel sensitive method based ...
Alexander E. Kel, Yuri Tikunov, Nico Voss, Jü...
ICASSP
2011
IEEE
13 years 1 months ago
Towards robust word discovery by self-similarity matrix comparison
Word discovery is the task of discovering and collecting occurrences of repeating words in the absence of prior acoustic and linguistic knowledge, or training material. The capabi...
Armando Muscariello, Guillaume Gravier, Fré...
RECOMB
2006
Springer
14 years 10 months ago
A Study of Accessible Motifs and RNA Folding Complexity
mRNA molecules are folded in the cells and therefore many of their substrings may actually be inaccessible to protein and microRNA binding. The need to apply an accessability crite...
Ydo Wexler, Chaya Ben-Zaken Zilberstein, Michal Zi...
IMSCCS
2006
IEEE
14 years 3 months ago
Frequency Distribution of TATA Box and Extension Sequences on Human Promoters
Background: TATA box is one of the most important transcription factor binding sites. But the exact sequences of TATA box are still not very clear. Results: In this study, we cond...
Wei Shi, Wanlei Zhou